OpenWorld 2016 Utility Analytics Roadmap - … 2016 Utility Analytics Roadmap ... Transmission,...

transcript

OpenWorld 2016 Utility Analytics Roadmap Session CON7213

Creighton Oyler, VP Strategic Growth Markets Bill Devereaux, VP Industry Strategy Taj Ait-Laoussine, Sr Director Utility Data Analytics Julia Lundin, Sr Manager Product Marketing September 2016

Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

Enhancing the Customer Experience Julia Lundin

Program Agenda

The need for Utility Analytics

Enhancing the Customer Experience

Improving Operational Efficiency

Analytics Roadmap and Getting Started

The need for Utility Analytics Economic Necessity

Bill Devereaux

Steeply rising costs and moderating electricity consumption are forcing Utilities to transform how they operate

Deloitte’s “The Math Does Not Lie”

• Generation, Transmission, Distribution additions

• Environmental regulation compliance

• Renewable portfolio standards and safety regulations

• Cost of capital / Interest rates

Apportioned Capital Costs

• Cost of fuel

• Incremental operating costs of environmental compliance retrofits

• New operating technologies

Operating Costs

• Moderate new sources of demand

• Changes in the economy

• Technological advances in energy efficiency

• Customer behavior and attitudes

kWhr Consumption

Increased Costs

Decreased kWh Consumed

Source: ‘The Math Does Not Lie: Factoring the Future of the US Electric Power Industry’ – Deloitte Energy & Resources Dbriefs, Jan 2013

The utilities industry can pull key levers to affect the Math, each with varying levels of complexity and value. Utility Analytics can support these levers and potentially deliver additional upside

Analytics can directly support business performance

Value Levers

Cost per kWh sold ($/kWh)

Streamline operations, reduce and restructure controllable costs

Consider M&A or divestitures to achieve synergies or reconsider business structures

Change the regulatory paradigm (e.g. changing renewable portfolio standards, etc.)

Capture, Retain Customers

Evaluate opportunities for new products and services

Decrease Costs

Increase No. of kWh Consumed

Change the Business Model

Advanced

Analytics

Advanced

Analytics

Advanced

Analytics

Analytics to Reduce Operation Costs Taj Ait-Laoussine

The Impact of Electric Vehicle Charging on Infrastructure

The addition of one electric vehicle resulted in a 71% increase in Transformer Loading.

This Electric Vehicle Started Charging in October 2014

Average Daily Usage 2013: 74 kWh

2014: 127 kWh

Identifying and Distinguishing EV from Other End Uses

Further Characterizing Electric Vehicle Charging Patterns

All EV Meters

Peak Chargers

10pm – 4am

Off-Peak Chargers

4pm – 10pm

kWh Usage at Night (10pm-4am)

The majority of usage from EV charging occurs disproportionately during peak hours, increasing strain

The Implications of EV Charging on Distribution Operations

Non-EV Meters (Random Sample)

EV Meters

Opower Peak Day Alerts + DataRaker Analytics highly targeted DR big peak savings

Opower notifications for Demand Response

• Opower Peak Day Alerts uses timely, personalized notifications that leverage AMI data and behavioral science to motivate customers to reduce peak demand by 3%

• This is without a price signal or device and without DataRaker integration

• By combining this with DataRaker, we can do highly targeted DR for even greater peak demand reduction

Enhancing the Customer Experience Julia Lundin

Customer Activity Score is High

Motivation

Investment Likelihood

Propensity to Participate

The Future of Integrated Analytics

Technology integration

– On prem to cloud data unification (integration web services)

– Cross system translation mechanisms (standardized data exchange format)

– Multi service data preparation (generic ETL, data quality analytics)

Business process integration

– Closed loop meter to field and meter to customer meter and billing operations

– From meter to distribution comprehensive revenue protection

– Customer demand response impacted distribution operations

Cross functional unification

– Enabled IoT ecosystems

– Sensor based data integration

– Comprehensive customer engagement

Analytics Investment Themes

OpenWorld 2016 Utility Analytics Roadmap - … 2016 Utility Analytics Roadmap ... Transmission,...

Documents