NMR Enabled Sample Design Kent Mathis JEA Craig Williamson Energy Insights

2. JEA (formerly Jacksonville Electric Authority) Originally a municipal electric authority In 1997 JEA took over water and sewage for the city Now we�re just �JEA�. We have about 2300 permanent employees. Customer base: 405,000 electric 300,000 water 223,000 sewer Service Territory 900 square miles Several counties in NE Florida

3. JEA�s Electric System JEA owns and operates three generating plants and all transmission and distribution facilities. A fourth power plant, the St. Johns River Power Park (SJRPP), is owned jointly by JEA and the Florida Power & Light Company (FPL) and operated by JEA. JEA and FPL are also joint owners of Unit 4 at Georgia Power Company's coal-fired Robert W. Scherer Plant (Plant Scherer), which is located in Macon, Georgia. JEA produces 3.2 MW from a methane-fueled generating facility at the Girvin Road Landfill. JEA's net generating capability is 2,361 MW, gross capacity is just under 3,000 MW

4. The Ascent of JEA NMR-Enabled Load Research

5. Cellnet Nomenclature

6. Establish TeamCorporate Data Integration (CDI)

7. Initial Corporate Data Integration Goals Develop Team Knowledge, Skills & Abilities Training (LR, DSM, NMR & Tools) Hire LR & DSM Consulting Experts Meet Customers & Discuss Needs Load Research (LR) Demand Side Management (DSM) Advanced NMR

8. Develop TeamKnowledge, Skills & Abilities Training Joined AEIC and pursuing membership in LR committee LR Workshops, Conferences & Classes NMR Understand how the system works Software SAS AnalyzeIT & VisualizeIT Hire Load Research Expert Surveyed Options Traditional consultant vs subscription services Energy Insights

9. Meet Prospective Customers and Discuss Their Needs Over a 3 month period (March, April, May) met with customers Rates, System Planning & Forecasting, Distribution Engineering Marketing, Customer Service, Account Executives, DSM Operations, System Reliability, Power Quality Billing & Metering, Collections Needs Centered Around Load Research Demand Side Management Analyze Winter Peak & Develop Programs to reduce peak TOU Advanced NMR Functions Distribution System Loading Optimized Theft Detection Customer Load Information & Notification

10. Initial Load Research Goals Develop Toolset Get NMR Interval Data Flowing � July 2006 Figure out Process Switching Meters On Initial Sample Design Collect & Analyze Summer Peak � Late September 2006 Completed Load Curves System Load Distribution � Ongoing Estimate Rate Class Load Shapes � Long term Design, Select & Install Sample Collect & Analyze Data

11. Develop Toolset Load Research Toolset Complete Connectivity between Systems Currently using temporary database (MSPR) SAS Purchased in March AnalyzeIT & VisualizeIT Purchased in April Excel

12. Meter Data Management System Flow

13. Initial Sample Design Summary Examined Sample Design Population 124 Report & CAIR Rate Name Report Studied 5 rate classes (Res, GS, GSD, GSLD, Int/Cur) Designed samples for Res, GS, and split the population for GSD into two subgroups Consumption Data Cleaned and organized data (frequency distributions in 50 kWh buckets) Developed 2-D Stratification (reduce variability) Delanius Hodges � Produced Breakpoints For Res and GS, we used a 3x2 design of 6 strata, with 3 winter strata (low, medium, high), and two summer strata (low, high), plus one extreme stratum (very high summer or very high winter or both), producing 7 �buckets� For each subgroup in GSD, we used a 2x2 design, with 2 winter strata (low, high), and two summer strata (low, high), plus one extreme stratum (very high summer or very high winter or both), producing 5 �buckets�

14. Residential Sample Implementation

15. GS Sample Implementation

16. GSD Sample Implementation

18. Sample design moving forward We will use the variances and means from the data for August 4th to calculate required sample sizes and allocate sample points for the summer peak We will use the means and variances for the MV-90 data to calculate the required sample sizes and allocate sample points for the winter peak for GS and GSD, and use judgment for Residential winter peak accuracy We will carefully consider the implications of the expected percent of meters that can�t deliver interval data Current sample will be randomly reduced or increased where necessary We will include interval data from MV-90 customers that are chosen in the sample

19. Lessons Learned Expectation

20. Lessons Learned Expectation

21. Lessons Learned (cont) Expectation

22. Lessons Learned (cont) Expectation

23. �Ahas� Originally afraid JEA faced a long, slow, expensive learning curve - Purchasing Energy Use Strategic Service continues to be high value for cost; purchase did not require formal bidding process Having an NMR system is enabling our LR group to expand beyond traditional LR applications and uses

24. Going Forward Complete COS Sample Design Complete LR Toolset Collect & Analyze Winter Peak Develop System Load Snapshot Skills Develop Customer Base & LR Products

25. Contact Information