PRR 568 – Settlement Timeline September day Analysis COPS October 25, 2005
2 Review of Analysis Data Loading/Availability IDR NIDR Aggregation Results Generation Changes Load Changes —QSE —LSE UFE
3 Data Loading/Availability
4 IDR Data Loading Statistics Daily IDR data availability is graphed and posted weekly
5 IDR Data Loading Statistics Two representations of data loading are provided: 30-day view 8 day vs 15 day comparison
6 % of IDR Data Loaded by MRE (as of )
7 IDR Data Loaded for Day 8 and 15 Trade Date:
8 NOIE vs Competitive IDR Data Availability
9 What Caused the 8-day NOIE IDR Change NOIE’s have the same meter data submission requirements as Competitive TDSP’s – “on a monthly basis” Some NOIE’s choose to submit their data on a more frequent basis There are 119 NOIE’s but only 8 NOIE Meter Reading Entities (MRE’s) The percentage of data submitted by each NOIE MRE is approximately NOIE MRE A – 40% NOIE MRE B – 36% NOIE MRE C – 12% NOIE MRE D – 10% NOIE MRE E – 2% NOIE MRE F, G & H – <1% Due to these percentages, the submission of data from one NOIE MRE can significantly change the percentage of data available for settlements.
10 Non-IDR Data Availability
11 Aggregation Results
12 Generation Differences
13 Average Load Differences for QSEs Day 8 vs Day 15
14 QSE’s Grouped by Percent Change
15 Average Percent Load Change by QSE Size
16 Individual QSE Extremes by Day
17 Individual QSE Extremes by Day
18 Average Load Differences for LSEs Day 8 vs Day 15
19 LSE’s Grouped by Percent Change
20 Average Percent Load Change by LSE Size
21 Individual LSE Extremes by Day One NOIE LSE was excluded from this graph due to it having one ESIID that skewed the graphs beyond readability (small usage, approximately 8000 % change)
22 Individual LSE Extremes by Day One NOIE LSE was excluded from this graph due to it having one ESIID that skewed the graphs beyond readability (small usage, approximately 8000 % change)
23 % UFE Comparison September 15 through September 30
24 % UFE Change (Day 8 minus Day 15)
25 Questions