GIS Training Workshop · QGIS Open-source Easy to learn, community based PowerBI Open-source...

GIS Training Workshop Pictures (Maps) are Worth A Thousand Words

Luisa M Freeman DNV GL

Christina Robichaud DNV GL

USGBC Continuing Education Credits

Sessions with CEUs are identified in the conference program

To claim your certificates please see Conference Concierge Kisha Gresham outside room 222

DNV GL copy 24 October 2018 SAFER SMARTER GREENERDNV GL copy

24 October 2018

ENERGY


4

SEEA 2018 Conference on Energy Efficiency

DNV GL copy 24 October 2018

Q What percent of people are visual learners

5


Introductions and level setting01Geography 101 ndash Maps vs Geospatial Information Systems (GIS)02

Utilities 101 ndash Quick history GIS in energy03

Stretch break and set up04Training demonstration ndash Walking you through a practical application05

Agenda

6

Wrap up08

Future of GIS and energy07

Case study applications in energy efficiency (EE) programs06


Introductions and level setting

7


People want information to be conveyed

quickly and creatively

Data must be distilled to make it easy to

digest

Linking information to something

familiar (ie the landscape) helps

people grasp it better

Welcome

Show how looking at data in a spatial

context improves its value

Share examples of ways geospatial

analysis is used in the utility energy

program space

Give you some beginning skills for

applying mapping and GIS tools

8

Premise Objectives


Your trainers

Luisa Freeman

Sr Principal Consultant DNV GL

Energy Insights Nashville TN

Christina Robichaud

Consultant DNV GL Energy

Insights Arlington VA

9

Manages utility data for intake

storage processing and visualization

using SAS QGIS and ArcGIS (Python)

R VBA and Power BI (DAX)

Links energy efficiency tracking data

program participants and estimated

kWh and kW savings with space in

annual Evaluation Measurement and

Verification (EMampV) reports to state

regulatory commissions

MSc Resource Economics amp Policy

University of Maine and BA Economics

St Lawrence University

30 years in research program

planning and evaluation for energy

industry

Over 200 clients in the US and for

the UN USAID various governments

Former head of Program Planning and

Evaluation for EverSource

Develops strategic plans for utilities on

efficiency and renewables and their

impact on the grid new policies and

emerging markets

MSc Econ Geography UT Knoxville BA

Econ Mary Wash University post grad

GIS training at Hunter College NYC


Q Any mapping GIS or statistics trainingQ Where are you from


Geography 101 ndash Maps vs GIS

11


Mapping vs geospatial analysis

Mapping Geospatial analysis

12

Acknowledges and explicitly

incorporates spatial relationships

between data and space

GIS data layers are collections of

related information that are linked

to specific geographic locations

DNV GL expert Geospatial

analysis explicitly and intentionally

incorporates spatial elements and

effects into the analysis so that

geographic changes are going to

impact the findings

Creates a representation and

approximation of a point polygon

etc in space

Maps of data can display one or

two dimensions of information at a

time

DNV GL expert I always

distinguished mapping as taking

analysis that really is done without

considering the spatial elements and

effects and then just using

addresses zip-codes

latitudelongitude etc to drop it

into a map (R Crowley)

In either case looking at data geospatially adds immediate insights to the information being conveyed


Q What are the benefits of geospatial analysis

It makes LOCATION a

key factor in the

analysis

It can also serve as

the LINK across a wide

variety of disparate

data for organizing

your information

13

AMI data

Secondary data census customer satisfaction etc

Program participation tracking measures amp savings

Marketing analytics

Direct customer contactsurveys

Information technology

Billing information

Real time social media

Purchase behavior


Q Why is location important to energy efficiency and sustainability

Find people who caredonrsquot care about being green

Identify where there are opportunities to save

Find areas or buildings vulnerable to climate events

Target marketing

Find out where and how people shop for major appliances

Anticipate best places to put EV charging stations

14


Q Why would we want to take market research data and link it to location

15


Utilities 101 ndash Quickie history GIS in energy

16


Utilities are a natural for geospatial analysis Why

They deliver their services by VECTORS

They serve discrete areas that are POLYGONS

Their facilities are located at POINTS

Gas pipelines electric transmission and distribution lines

Utility service territory boundaries

Generating units substations other physical assets

17


Applications of GIS in the Energy sector

Traditional uses of mapping Newer uses of mapping

18

ENGINEERING FOCUS

Mapping out the location of system assets

Understanding failure locations during outages

OPERATIONAL FOCUS

Planning shortest route for meter reading

Understanding growth areas eg new

subdivisions

ENVIRONMENTAL FOCUS

Understanding potential landscape impacts of

generating unit investments

RESOURCE PLANNING

Identifying where customers are likely to install

rooftop solar

Planning where electric vehicle (EV) charging

stations may go

CUSTOMER SERVICE

Locating underserved segments of the population

for services

Finding a good location for a demonstration project

or media event

EMERGENCY PLANNING

Establishing evacuation routes in real time


Whatrsquos changed and why should you care

Explosion of tools lower cost easy

to program and use

Vast quantities of data that need to

be analyzed

Fast-pace of technological change

Need answers to more questions

faster and more efficiently

In energyhellip

WHERE THINGS HAPPEN MATTERS

19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20


What tools do I have to use

21

Many resources that vary in

product type and price point

httpswwwspatialanalysisonlinecomsoftwarehtml


Example of selected tools

Software tool or language Paid or open-source Notes (benefits limitations)

ArcGIS PaidPowerful tool (multiple spatial analysis add-ons) industry prevalence

QGIS Open-source Easy to learn community based

PowerBI Open-sourceConstantly updating and adding new features dashboards

Tableau PaidDiversity of visual applications dashboards

R Open-source Community based many applications

Python Open-source Code utilized with ArcGIS QGIS etc

GeoDa Open-source Exploratory spatial analysis

22


Where can I get data and spatial data

23

httpswwwcensusgovgeomaps-datadatatiger-linehtml



24

httplibguidesnorthwesterneducphpg=115072ampp=750406


httpvginmapsarcgiscom

httpsgeolibrary-maineopendataarcgiscomdatasetsdata


Post-its activity

Taking about 5 minutes and using as many post-its as you need answer the following

What problem or types of problems are you tackling andor interested in solving in your work

What are similarities in these groupings

What are differences in these groupings

25


Training Demonstration

26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement

Conceptualize high level process

27

What tools will help achieve the

desired visualization or analysis


Step 0 Define problem statement

The municipal government of Pittsburgh PA needs your help

ndash Map the locations of municipal buildings in downtown Pittsburgh

ndash Visualize the buildingsrsquo electricity usage

ndash Investigate whether the sample data can be spatially interpolated for electricity usage

28


Step 1 Download your tools

Power BI Desktop

httpswwwmicrosoftcomen-

usdownloaddetailsaspxid=45331

29

Is my Windows computer 64 bit or 32 bit

1 Click the ldquoWindowsrdquo home button in the bottom left

corner of your screen

2 Click the ldquoGearrdquo button for Settings

3 Click ldquoSystemrdquo

4 Scroll down and click ldquoAboutrdquo


Step 2 Data collection and organization

31

httpsacolitacommini-curso-manual-de-geodatabase-en-arcgis

Definitions

Vector data stored as points lines and polygons

has direction and size attributes

Ex) Census tracts roads city boundaries

Raster data stored in a single cell tables

Ex) Surface elevation images

What types of files will you need to

answer your question or fulfill your end

goal

ndash Google ask a colleague

Save a copy of folder called GIS Exercise to

documents folder on computer

httpwwwpasdapsuedu


Step 3 Data review and QC

Within folder GIS Exercise gt

Personal_GBD gt Data folder open

the file municpal-building-

energy-use-2009-

2014_rawcsv

Confirm data is

ndash Formatted correctly for the

your geocoder tool

ndash Census Geocoder is ours (see

image)

ndash If not take steps to ensure the

format works with the your

particular geocoder

32

httpswwwcensusgovgeomaps-datadatageocoderhtml



33

httpscatalogdatagovdatasetallegheny-county-municipal-building-energy-and-water-use

Raw unedited municpal-building-energy-use-2009-2014_rawcsv

Edited municpal-building-energy-use-2009-2014_editcsv


Step 4 Geocode and QC

Go to the online Census

Geocoder

httpsgeocodinggeocensusg

ovgeocoderlocationsaddress

batchform

Click Census Geocoder link

Under ldquoFIND GEOGRAPHIC

LOCATIONS USINGhelliprdquo OPTION

click Address Batch

34



Click ldquoChoose Filerdquo and navigate to municpal-

building-energy-use-2009-2014_editcsv in

your file browser

Click drop down arrow for ldquoBenchmarkrdquo and

select Public_AR_ACS2017

Click Get Results and wait for the geocoder to

work and automatically download a file

GeocodeResultscsv

Open file GeocodeResultscsv from downloads

35

Where are my data headers



Open file GeocodeResults_fullcsv from Data folder

Keep in mind when reviewing results

ndash Insert meaningful data headers

ndash Look at geocoder documentation for FAQs metadata for interpreting result output

ndash Is match rate of addresses acceptable

Clean data and re-geocode for improvement (ie increase number of matches)

36

This ID will match the building ID in original data and called

primary key or unique identifier for an address


Step 5 Plot data visualize and revise

Open Power BI for Desktop

In the toolbar ldquoHomerdquo click Get Data

In the ldquoGet Datardquo dialog box select

TextCSV then click the yellow Connect

button to select CSV file called

GeocodeResults_fullcsv

37



Click yellow Load button

Data will appear on the right column FIELDS

38

These are your address locations with Census

information from the Geocoder



Repeat in the toolbar ldquoHomerdquo click Get Data



button to select CSV file called municpal-

building-energy-use-2009-2014_editcsv

39





40

This is your original building and energy usage

data



In the toolbar ldquoHomerdquo click Manage

Relationships

In the Manage relationships click New

41



In the Create relationship dialogue click the

first drop down and select

GeocodeResults_full

Click the column record_id and it will grey out

Ensure the second drop down contains

municipal-building-energy-use-2009-

2014_edit

Ensure the column Property Id is clicked and

greyed out

Cardinality= One to many (1)

Cross filter direction = Single

Ensure ldquoMake this relationship activerdquo is checked

42



What if PowerBI gives me an error

message the ID field is not unique

ndash Click ldquoHomerdquo in the upper ribbon and click

Edit Queries

ndash Under ldquoQueriesrdquo on the left hand side click the

dataset that has the alleged not unique ID

ndash Click the drop down arrow to the right of the

column heading to sort the column either

ascending or descending to identify the errant

ID value

ndash Click ldquoRemove Rowsrdquo then the ldquoRemove

Top Rows Optionrdquo

ndash Insert number of rows = 1 then click OK

43



Under the tab ldquoHomerdquo click ldquoClose amp Applyrdquo to

apply changes

Try to repeat creating a relationship again

between ID variables

44

Take awayhellip know your data and donrsquot be

hesitant to dig into it



In the column ldquoVisualizationsrdquo find the globe

icon that is ArcGIS Maps for Power BI

In the column ldquoFieldsrdquo select the small triangle

drop down on the left of dataset

GeocodeResults_full

Either

ndash Select and drag match_addr under

GeocodeResults_full to the dashed box

below Location

ndash Select the check box to the left of

match_addr

45




drop down on the left of the municipal-

building-energy-use-2009-2014

Select and drag Electricity Use ndash Grid

Purchase (kWh) under municipal-building-

energy-use-2009-2014 to the dashed box

below Size




below Color

46



ArcGIS Map

ndash Larger darker red

circles suggest

addresses with

average high kWh

usage from 2009-

2014

47



In the column ldquoVisualizationsrdquo find the globe icon that

is Map

In column ldquoFieldsrdquo select the small triangle drop down

left of GeocodeResults_full

Select drag input_address under

GeocodeResults_full to the dashed box below

Location

Select drag Electricity Use ndash Grid Purchase (kWh)

under municipal-building-energy-use-2009-2014 to

the dashed box below Size

Select and drag Electricity Use ndash Grid Purchase

(kWh) under municipal-building-energy-use-2009-

2014 to the dashed box below Color saturation

48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49


Step 5 Application for Dominion Energy 2012-2016 as choropleth map

Problem Dominion Energy wanted to

visualize historic customer

participation and kWh savings in their

EE programs and areas of opportunity

Solution DNV GL used program

tracking data on participants to

develop densities of program activity

by county compared to show where

outreach efforts should be targeted

(more interestingly we showed

participation versus savings achieved)

Mapping tools used Tableau

reproduced in PowerBI and QGIS

50

Program participants

Areas of low participation but high savings per participant = High potential target areas

Residential Efficiency Program

Participation amp Savings by

County 2012-2017 cumulative


Step 6 Analysis

Plot geocoded data and shapefiles Spatial interpolation of sample data

61

Thiessen polygons


Key takeawayshellip what did we do here

Obtained cleaned and geocoded address data rarr attributed longitude and latitude to buildings

Linked and mapped addresses to points on streets

Joined two related files back together with unique identifier key rarr Property ID and Record_ID

Displayed building locations on a map

Added features or attributes anything you are looking at to the plotted buildings rarr energy use

Discussed conceptually how to aggregate or add up data to a spatial unit to map

Discussed conceptually how to use a sample of data to estimate impacts over space

62

Aggregating or adding up data to a spatial unit (ie state county census tract etc) allows

spatial patterns to present themselves We can further analyse these patterns with statistics

It is our job to communicate in an easy to understand message to our respective audiences


Resources and further reading

Geospatial Analysis - A comprehensive guide 2018 httpswwwspatialanalysisonlinecom

Spatial Data Analysis and Modeling with R httprspatialorgspatial-data-analysis-and-

modeling-with-r

Census Geocoder httpsgeocodinggeocensusgovgeocoder

QGIS Geocoder httpswwwgisloungecomhow-to-geocode-addresses-using-qgis

Plugin for QGIS Geocoder httpmichaelminncomlinuxmmqgis

Exploring Spatial Data with GeoDa A Workbook

httpwwwcsissorgclearinghouseGeoDageodaworkbookpdf

Quantum GIS (QGIS) Tutorials amp Tip Sheets httpssitestuftsedugisquantum-gis-qgis-

tutorials-tip-sheets

63


Case study applications of EE programs

64


Aliant Agricultural EE Program

Problem Stalled participation levels in

agricultural program led utility to seek ways

to augment outreach efforts

Solution DNV GL analyzed data on program

activity from the tracking database and

compared against eligible customers by rate

codes to identify gaps Shows participation

rates for zip codes with at least 10 utility-

served farms Most zips with gt50 farms had

zero participation

GIS tools used Tableau

65


North Carolina Sustainable Energy Association

Problem ldquoTell me where clean energy is

in North Carolinardquo Where is there

potential for residential energy efficiency

upgrades to buildings

Solution Developed Energy Data Book

(Atlas) Took home counts built prior to

1970 (when no codes for insulation levels

existed) from ACS data and did

interpolation to regionally map the likely

density concentrations of residential

retrofit opportunities so that community

groups and weatherization entities knew

where to focus their efforts

GIS tools used Quantum GIS IDW ndash

using ArcGIS Spatial Interpolation toolset

66


New York City Housing Authority amp Hurricane Sandy

Problem Slow recovery efforts in

public housing pushed NYSERDA to

fund resiliency research

Solution DNV GL applied GIS to

identify high risk areas from storm

surges across the 5 boroughs of NYC

applied building resiliency tool B-

READY to rate NYCHA properties as

to their level of capability to

withstand climate events with focus

on energy amp building systems

GIS tools used An online tool was

developed in an ArcGISEsri

67

Interested in a DEMO Let us know


Panama Canal ndash system analysis

Problem The Panama Canal (PC) connects the Atlantic and

the Pacific oceans and is currently the worldrsquos major

shipping crossway for ocean-going ships it is transited

daily by nearly 40 ships Panama Canal Authority was

interested in conducting a climate change adaptation risk

analysis looking at the operability of the PC for navigational

purposes

Solution DNV GL applied its ADAPT model

ndash a risk-based framework for adaptation to climate change

ndash enables cost-benefits assessment of possible adaptation

strategies

ndash makes use of state-of-the-art climate models

ndash includes all major sources of uncertainty

GIS tools used A range of sea level rise databases and

tools used to model potential impact scenarios

68 Speaker Pablo Reed


Amsterdam Citywide Resiliency Planning

Problem High risk for sea level

rise low cooperation among

government agenciesrsquo silos

Solution DNV GL facilitated

planning sessions with

demonstrative overlays of various

city infrastructure and how it could

be impacted

GIS tools used An online tool

was developed in an ArcGISEsri

environment for use by the City in

anticipating future events and

their potential impact on buildings

69

CLAIRE video


Advanced applications Energy and residency services for energy end users

70

❯ Market research and analytics

❯ Load research and forecasting

❯ Energy efficiency and demand response potential assessment

❯ Technology road mapping

❯ Best practices studies

❯ Regulatory and policy support

❯ Market intervention strategies

❯ Program plans and budgets

❯ Stakeholder engagement

❯ Turnkey program delivery

❯ Market strategies and campaigns

❯ Program analytics and reporting

❯ Impact evaluation

❯ Rapid assessment measurement and verification

❯ Process evaluationoperations improvement

PROGRAM DELIVERY

❯ Facility assessment

❯ Energy modelling

❯ Strategic energy management

TECHNICAL SERVICESTECHNOLOGY AND

MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING

PROGRAM PLANNING amp

DESIGN

PROGRAM

DELIVERY

TECHNICAL MODELING amp

MANAGEMENT

EVALUATION MEASUREMENT

amp VERIFICATION


Wrap up Feedback and future interest

What is something surprising or a major take away that you learned

What would you like to learn more about

What do you see as barriers for you to sharing and implementing some of these ideas and concepts

71


SAFER SMARTER GREENER

wwwdnvglcom

The trademarks DNV GLreg DNVreg the Horizon Graphic and Det Norske Veritasreg

are the properties of companies in the Det Norske Veritas group All rights reserved

72

Luisa Freeman

LuisaFreemandnvglcom

Christina Robichaud

ChristinaRobichauddnvglcom

EEFusion

USGBC Continuing Education Credits

Sessions with CEUs are identified in the conference program

To claim your certificates please see Conference Concierge Kisha Gresham outside room 222


24 October 2018

ENERGY


4




5





Agenda

6

Wrap up08





7





digest




Welcome





program space



8

Premise Objectives


Your trainers

Luisa Freeman



Christina Robichaud



9
















industry








emerging markets








11




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion


24 October 2018

ENERGY


4




5





Agenda

6

Wrap up08





7





digest




Welcome





program space



8

Premise Objectives


Your trainers

Luisa Freeman



Christina Robichaud



9
















industry








emerging markets








11




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



5





Agenda

6

Wrap up08





7





digest




Welcome





program space



8

Premise Objectives


Your trainers

Luisa Freeman



Christina Robichaud



9
















industry








emerging markets








11




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion





Agenda

6

Wrap up08





7





digest




Welcome





program space



8

Premise Objectives


Your trainers

Luisa Freeman



Christina Robichaud



9
















industry








emerging markets








11




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



7





digest




Welcome





program space



8

Premise Objectives


Your trainers

Luisa Freeman



Christina Robichaud



9
















industry








emerging markets








11




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion





digest




Welcome





program space



8

Premise Objectives


Your trainers

Luisa Freeman



Christina Robichaud



9
















industry








emerging markets








11




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion


Your trainers

Luisa Freeman



Christina Robichaud



9
















industry








emerging markets








11




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion





11




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



11




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion




12












impact the findings



etc in space



time






addresses zip-codes






It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



It makes LOCATION a

key factor in the

analysis




data for organizing

your information

13

AMI data



Marketing analytics



Billing information


Purchase behavior






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion






Target marketing



14



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



15



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



16









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion









17




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion




18

ENGINEERING FOCUS



OPERATIONAL FOCUS



subdivisions

ENVIRONMENTAL FOCUS



RESOURCE PLANNING


rooftop solar


stations may go

CUSTOMER SERVICE


for services


or media event

EMERGENCY PLANNING





to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion




to program and use


be analyzed




In energyhellip


19

DER

AMI

IoTCO2

Apps

EVs

JOBs


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion


Tools and Data

20



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



21














22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion











22



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



23




24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



24






Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion


Post-its activity





25



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



26


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion


Analysis

Plot data visualize

and revise

Geocode and QC

Review and QC

data

Collect and

organize data

Define problem

statement


27









28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion







28



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



Power BI Desktop



29









31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



31


Definitions








goal




httpwwwpasdapsuedu






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion






energy-use-2009-

2014_rawcsv

Confirm data is


your geocoder tool


image)



particular geocoder

32




33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



33







Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion




Geocoder



batchform




click Address Batch

34





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion





your file browser





GeocodeResultscsv


35










36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion









36











37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion









37





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion





38










39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion








39





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion





40


data




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion




Relationships


41





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion





GeocodeResults_full




2014_edit


greyed out




42






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion






Edit Queries






ID value




43




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion




apply changes



44









GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion







GeocodeResults_full

Either



below Location


match_addr

45









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion









below Size




below Color

46



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



ArcGIS Map


circles suggest

addresses with

average high kWh

usage from 2009-

2014

47




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion




is Map





Location







48



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



Map

ndash Larger blue

circles suggest

addresses with

average high

kWh usage from

2009-2014

49
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion
















50







Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion


Step 6 Analysis


61

Thiessen polygons










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion










62








modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion





modeling-with-r








63



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



64












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion












zero participation


65


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion


















66
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion
















67










purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion









purposes




strategies















be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion










be impacted






69

CLAIRE video



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



70
















PROGRAM DELIVERY





MARKET ASSESSMENT

POLICY amp PROGRAM

PLANNING


DESIGN

PROGRAM

DELIVERY


MANAGEMENT


amp VERIFICATION






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion






71



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion



wwwdnvglcom



72

Luisa Freeman


Christina Robichaud


EEFusion

EEFusion

Date post:	24-Mar-2020
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