1. Solutions for Meter Data Management Layne Nelson Product Manager LODESTAR Corporation Copyright © 2005 LODESTAR Corporation - All Rights Reserved LODESTAR Corporation - Confidential and Proprietary Copyright ©2007 LODESTAR Corporation – All rights reserved LODESTAR Corporation – Confidential and Proprietary

2. Agenda What is Meter Data Management (MDM)? Market Trends Components of an effective Meter Data Management (MDM) Solution Will Ontario Distribution Companies need a local operational data store?

3. What is Meter Data Management? MDM solutions provide comprehensive functionality to support the loading, validating, storing, estimating, and publishing of meter data Often serving as an enterprise wide operational data store Meter Data - the lifeblood of any Energy Company Meter Data Repository Web based Customer Care Distribution Planning Pricing Billing Forecasting Settlement Meter Data

4. What is Meter Data Management? Data collection Validating and editing reads Exception Management Storing Meter Events Estimating invalid or missing reads Providing data to downstream systems Profiling scalar meter reads Aggregating meter reads Tracking meter inventory Providing information directly to end-users Performing revenue protection analysis Distribution Planning and Support A system to manage large volumes of data supplied by a variety of metering systems

5. Why is MDM a Hot Topic? Companies are looking for operational efficiencies –MDM handles details of meter data collection system –MDM provides data as needed to other applications –Limit changes to legacy systems Customer Service –Provide all internal and external customers with access to meter data Better Asset Management Distribution Planning Support –Sizing of equipment -- transformers, feeders, substations

6. Why is MDM a Hot Topic? Companies looking for Revenue Protection Opportunities –Find missing revenue –Identify possible theft for further investigation –Reduce field service orders Support for AMI Programs –Smart meters, AMR, interval meters, etc. Market Initiatives –Ontario Smart Metering Program –EPAct 2005 Support Demand Response Programs –Time based: TOU, CPP, RTP –Incentive based: Direct Load Control, Interruptible / Curtailment Programs, etc.

7. Trends in the Market Increase Use of Time Series Data –Increase use due to AMI and Demand Reponses Programs Daily Readings More time series meters Critical Peak Pricing Aggregated usage data by TOU & bill period to support billing Market prices –More interval data is used for downstream business processes Settlement results Pricing data Weather data Load profiles Forecast

8. Meter Data Repository (Interval & Monthly Read) Revenue Protection Load Profiles Meter Asset Customer Information VEE Exception Management Revenue Protection Service/Work Order Processing Un-Metered Customers Billing Determinants Data Analysis MDM AMR Handheld Drive-by PLC Broadband Over Power Line AMI Solutions Etc. Un-Billed Energy Downstream Systems Transformer Load Management Auditing Automated Processes Reports Demand Response CIS Billing & Call Center Online Presentment Complex Billing Settlement = LODESTAR CCS Distribution Planning & Analysis Pricing/ New Product Offerings Forecasting & Energy Procurement Rate Analysis & Cost of Service Service/Work Orders Outage Management Data Billing Determinants Interval Meter Reads Historical Data Customer Information Revenue Protection Incidents Service/ Work Orders Demand Response Signals Aggregated Load Solution Overview

9. Solution Overview: Data Gathering & Processing Gate Keeper for all Inbound Meter Data –Data Collection Collect data from various meter types and technologies –VEE Automated Validation & Data Cleansing –Exception Management Identifies & Routes Meter Exceptions to Appropriate Users and/or Queues Meter Events –Revenue Protection Identifies Impending Revenue Protection Events –Service/Work Order Processing Interface with Service Order System –During VEE Process  Routes Select Meter Events to Service Order System –Initiate from Work Queues as a result of Exception Management Investigation –Service Order Completion Feedback from Service Order system AMI Solutions AMR Handheld Drive-by PLC Broadband Over Power Line Etc. VEE Exception Management Revenue Protection Service/Work Order Processing Automated Processes

10. Solution Management: Data Repository Customer Information –Customer  Account  Service Delivery Points –Service Point Classification –Billing Cycles & Cycle Dates –SIC Codes Meter Asset –Meter Events (Current & Historical) –Meter Diagnostic Data Load Profile –Class Profiles Revenue Protection Events –Historical archive of Revenue Protection Incidents Meter Data Repository –Meter Configuration –Meter Reads  Consumption & Interval –Power Quality Data – Kvar, power factors, etc. –Meter Errors and Event Codes Revenue Protection Events  Theft/Tamper Indicator Meter Data Repository (Interval & Monthly Read) Revenue Protection Events Load Profiles Meter Asset Customer Information

11. Solution Overview: Advanced Functionality Un-Metered Customers –Street Lights Data Analysis –Business Intelligence on Analysis of Meter Data –Graph/Trend view of consumption meter reads Transformer Load Management –Aggregation of Load Data to the secondary transformer level –Additional Aggregation for Feeder, Substation levels –Transformer Rating & Identification of Transformers exceeding rating. Reports –Standard Reports for Operational & Business Intelligence Bill Determinants –Calculation of Billing Determinants Un-Billed Energy –Energy consumed but not invoiced –Typically created at the end-of-month Auditing –Complete Audit Trail of all Changes Demand Response –Critical Peak Pricing and Time-of-Use Pricing data Un-Metered Customers Billing Determinants Data Analysis Un-Billed Energy Transformer Load Management Auditing Reports Demand Response

12. Interface Data Billing Determinants & Complex Billing –Calculated on Bill-Cycle based on Customer’s Tariffs –Off-Cycle calculation Bill Determinant are also supported Interval Meter Data –Clean Interval Meter Data Sent to various systems –Aggregated Data at various levels are supported E.g., Aggregation performed at the transformer & substation levels Aggregated Load –Customer load may be aggregated for various downstream systems like Transformer Load Management & Distribution Planning –Additional aggregation level may be configured Historical Data –MDM Data Repository includes historical meter data –Downstream system will have this data available Data Billing Determinants Interval Meter Reads Historical Data Customer Information Revenue Protection Incidents Service/ Work Orders Demand Response Signals Aggregated Load

13. Interface Data Customer Information –MDM Data Repository includes customer information –Useful for identifying Revenue Protection events/incidents Revenue Protection Incidents –Customers with Revenue Protection Incidents are reported for proper processing Service / Work Orders –Meter events requiring service or work orders are routed through the appropriate system –Feedback response from that system closes the loop Demand Response Signals –Demand response data may be routed to the appropriate application. Data Billing Determinants Interval Meter Reads Historical Data Customer Information Revenue Protection Incidents Service/ Work Orders Demand Response Signals Aggregated Load

14. Functionality Summary Meter Data Collection –Collect data from various meter types and technologies –Handle equipment changes including meter change outs Validation, Estimation and Editing –Industry standard rules to validate and estimate meter data –Sophisticated analysis tool for assessing and making any manual edits –A framework to add additional rules via standard configuration Revenue Protection Monitoring –Revenue protection events are logged –Profile comparisons

15. Functionality Summary Exception Management –Usage exceptions and Work Queues –Issue Service Orders Interfaces –Standard file and programmatic interfaces –Feature rich configuration tool for adding new interfaces Aggregation –Calculate complex billing determinants –Aggregations can also be performed for business processes: settlement, forecasting, distribution planning, etc. Reports –Standard, parameter driven reports and report tools for configuring additional reports Auditing –Who made the change & when the change was made –Show changes to meter reads & meter attributes (before and after)

16. Proven Solutions Key selection criteria –Flexible solutions that will evolve with the market –Solutions that support current and evolving technologies: Smart Meters, and Demand Response –Making the correct software investment will ensure your solution works today and tomorrow –Proven scalable products –Open Technologies

17. Will Ontario Utilities need a local operational data store? Realize the full potential of your Smart Meters –Issue AMI head-end system commands directly –Store and utilize interval data –Perform custom VEE –Store meter events –Perform Revenue Protection Analysis –Service Order Management –Perform in-house data analysis and aggregation Forecasting, Distribution planning, Etc. –Maintain meter inventory and testing records

18. Solutions for Meter Data Management Questions and Answers

19. Solutions for Meter Data Management Thank You