October 19 – 21, 2009, Sao Paulo, BRAZIL
Leon Sijbers Business Development
Itron International
The NetherlandsOctober 19 – 21, 2009Transamerica Hotel, Sao Paulo,BRAZIL
October 19 – 21, 2009, Sao Paulo, BRAZIL
Incorporating MDM into your AMI/ metering strategy
What are the challenges you face today?
October 19 – 21, 2009, Sao Paulo, BRAZIL
Today’s challenges• Meter data dispersed amongst different systems
– C&I and Residential Billing
– Revenue protection, asset and outage management– Central data repository
– Multiple AMR/AMI systems
• Different processes applied to meter data– Import, validation, estimation – for billing, for display etc.
• Increase in Volume– Massive amount of data being collected and managed (Readings, Events)
• Drive for improved efficiency and management – Loss calculations, forecasting, load optimization, asset analysis.
October 19 – 21, 2009, Sao Paulo, BRAZIL
Dispersed meter data
meters
analyticapplications
Residential meter reading
C&I billing
MM billing
operational applications
operational applications
analyticapplications
operational applications
operational applications
C&I meter reading
No single point of truth
Complex to manage change:•New AMI system means integrating with many external systems•New operational applications have to carry the same burden
High operational costs•Islands of data •Islands of logic
No single point of truth
Complex to manage change:•New AMI system means integrating with many external systems•New operational applications have to carry the same burden
High operational costs•Islands of data •Islands of logic
October 19 – 21, 2009, Sao Paulo, BRAZIL
MDM View – Unified meter data repository
analyticapplications
Residential meter reading
operational applications
analyticapplications
meter data management
operationalapplications
C&I billing
MM billing
C&I meter reading
Unified meter data
Simpler change management•Billing and operational systems are isolated from changes in the AMI/Metering systems (and vice versa)
Single point of truth for ALL meter data•Consistent validation and estimation•Consistent processes applied to meter data
Optimised and targeted data made available to operational system/s
Unified meter data
Simpler change management•Billing and operational systems are isolated from changes in the AMI/Metering systems (and vice versa)
Single point of truth for ALL meter data•Consistent validation and estimation•Consistent processes applied to meter data
Optimised and targeted data made available to operational system/s
October 19 – 21, 2009, Sao Paulo, BRAZIL
SAP and MDM (MDUS) MDUS
SAP for Utilities
NetWeaver
AMI
System
1
AMI
System
n
High Speed
Meter Data
Handler
Meter & Energy
Data Management
Meter & Device
Management
Marketing/Sales
(Self) Service
Billing/Invoicing
AccRec/C&C
Intercompany
Data Exchange
Enterprise Asset
ManagementService Mgmt
EAM Data
Service Provider
Data
Enterprise Service
Repository
Enterprise Management
& Business Support
Master Data
Synchronization
Command Mgr &
Event Handler
AMI System
Unification
Meter Data
Repository
SAP XINetWeaver
CRM/CIS Data
Meter & Device
Master Data
Meter & Energy
Data Repository
October 19 – 21, 2009, Sao Paulo, BRAZIL
Today’s challenges• Meter data dispersed amongst different systems
– C&I and Residential Billing
– Asset and outage management
– Data warehouse– AMR/AMI systems
• Different processes applied to meter data– Import, validation, estimation etc.
• Increase in Volume– Massive amount of data being collected and managed (Readings, Events)
• Drive for improved efficiency and management – Loss calculations, forecasting, load optimization, asset analysis.
– Expensive and complex to maintain home-grown applications
October 19 – 21, 2009, Sao Paulo, BRAZIL
Import
• Multiple standard formats– Web services, HHF, XML, CSV, HH
• Non-standard formats transformed prior to import
• Manages data regardless of arrival time– intra-day
– daily
– monthly (on cycle)
• Performs validation and estimation on import
Import
OW
C&I
OtherAMI
HH
transform Important Considerations:� AMI will always co-exist with other
meter reading methods� Offers flexibility to change out
systems over time with minimal impact to upstream applications
� Minimizes the number of round trips to the database
� Improves performance and scalability
October 19 – 21, 2009, Sao Paulo, BRAZIL
Validation, Estimation & Editing
• Consistent validation, estimation, and editing capabilities, regardless of data source
• Built-in parameter-based validation and estimation rules
• User-defined validation and estimation rules for customer-specific evaluations, no coding required
• Exception-based work queue and manual editing and estimation user interface
• Data gaps • Data overlap/multiple versions• Usage tolerance—registers versus
interval data• Demand tolerance—registers
versus interval data• Usage low limit• Usage high limit• Demand low limit• Demand high limit• Power factor low limit• Load factor low limit• Load factor high limit• Demand tolerance between
consecutive intervals (%)• Max number of zero intervals• Spike tolerance• Max number of status indicators• Comparisons against previous
periods
Important Considerations:� VEE of residential interval data is a
new area that is currently being reviewed by utilities and industry groups
� It is easy to add new rules over time� Performs consistent rules regardless
of meter reading application, including C&I
October 19 – 21, 2009, Sao Paulo, BRAZIL
Meter Data Repository
• Fully versioned data store– Validated, Estimated, Edited
– Contract changes, meter exchanges
• Enterprise class database (Oracle or SQL Server)• Minimal master data required
– Service Point (unique identifier)
– Meter/Module
– Premise
• Additional master data increases value– Customer/Account
– Transformer
• Secured by user and role
Important Considerations:� Auditable for regulatory review� Business users own the maintenance
of the data, reducing the burden on IT� Service point model allows users to
easily access data across meter exchanges
� Synchronization can be automated to reduce manual errors
October 19 – 21, 2009, Sao Paulo, BRAZIL
Aggregation
• Consistent aggregation, allocation, netting, and other calculations, regardless of data source– RTP, TOU, CPP– Losses, netting, etc.
• Easy-to-use scripting language for new formulas, requires no code changes
• All changes to formulas tracked over time
• Rich function set delivered with product
• + - * /• Square root, sine, cosine, etc.• Unit conversion functions
– KWH, KVARH � KVAH or power factor, V2H �V, etc.
• Conditional and Logical Operators– IF/AND/OR/NOT,<.>, etc– 50 levels of nesting
• Conditional functions based on status– Read statuses– Write statuses
• Date and Time functions• TOU functions
Important Considerations:� Flexible rules, can change over time
without programming� Minimizes the amount of
synchronization needed with meter� Can change rate calculation
retroactively or mid-cycle
October 19 – 21, 2009, Sao Paulo, BRAZIL
Event Management
Event: randomly occurring message indicating previous, current or future trouble; received for meters or AMI devices
• Event types– Leakage/ Thermal loss / Blockage– Tamper (removal, tilt, generic tamper)– and more…
• Receive events in standardized XML format• Normalize event codes to single standard• Filter events based on various criteria• Export value to multiple destinations in standardized XML format• Insert into enterprise class database for historical reporting• Correlate with usage during validation and revenue protection activities
Important Considerations:� Real time data collection requires a
more robust architecture than daily batch processing
� Events are a vital part of all MDM processes, not just used for alerting/other systems
� Events are best viewed in combination with other data
October 19 – 21, 2009, Sao Paulo, BRAZIL
Export
• Multiple standard formats– Web Service, XML, CSV, handheld simulators
• Non-standard formats transformed after export
• Export over any interval length, time zone, date range
• Data aggregated on-the-fly during export• Automated push or pull on demand
Important Considerations:� AMI data will become highly desirable
across the utility� Exports will proliferate –
inconsistencies will create mistrust in the data
� Consistent application of business rules upon export ensures that all users get the same data
October 19 – 21, 2009, Sao Paulo, BRAZIL
Two-Way Controls
Command: instruction issued to meter or AMI device over two-way AMI network; typically real-time and addressed by meter ID
• Commands to be supported– Synch Master Data from CIS
– On Demand Read / Ping
– Remote Disconnect / Connect– Price Signal / Load Control
• Queue, acknowledge request• Verify security of requestor• Format command for appropriate AMI system• Manage synchronous and asynchronous responses • Format completion or exception conditions
Important Considerations:Most control business processes are not
started within MDM – these are multi-hop interfaces
Every AMI system is different - even with standards, integration may require translation and “tweaking”
Most controls are asynchronous – the response must be matched up with the request
October 19 – 21, 2009, Sao Paulo, BRAZIL
Today’s challenges• Meter data dispersed amongst different systems
– C&I and Residential Billing
– Asset and outage management
– Data warehouse– AMR/AMI systems
• Different processes applied to meter data– Import, validation, estimation etc.
• Increase in Volume– Massive amount of data being collected and managed (Readings, Events)
• Drive for improved efficiency and management – Loss calculations, forecasting, load optimization, asset analysis.
– Expensive and complex to maintain home-grown applications
October 19 – 21, 2009, Sao Paulo, BRAZIL
Performance Experience
October 19 – 21, 2009, Sao Paulo, BRAZIL
Today’s challenges• Meter data dispersed amongst different systems
– C&I and Residential Billing
– Asset and outage management
– Data warehouse– AMR/AMI systems
• Different processes applied to meter data– Import, validation, estimation etc.
• Increase in Volume– Massive amount of data being collected and managed (Readings, Events)
• Drive for improved efficiency and management – Loss calculations, forecasting, load optimization, asset analysis.
October 19 – 21, 2009, Sao Paulo, BRAZIL
Revenue Protection
October 19 – 21, 2009, Sao Paulo, BRAZIL
Distribution Asset AnalysisDAA – Transformer Overload
Report
October 19 – 21, 2009, Sao Paulo, BRAZIL
Forecasting
October 19 – 21, 2009, Sao Paulo, BRAZIL
Conclusion: MDM Reduces Risk • Use MDM to consolidate interfaces rather than build point-to-point• Legacy systems have limited integration options
– Use Enterprise Application Integration to enable integration with new technologies
• Standard billing systems cannot manage daily or hourly reads– Use MDM to manage detailed data and provide commercial-ready billing
determinants to CIS
• Costs are justified on new applications of detailed data – Use MDM and applications to support new users with new applications
• Master versioned data repository for all meter data collection systems – enable access across the enterprise
• Consolidation of C&I meter data collection
