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I. About This Report <br />This report focuses on distribution system reliability across the country and is customized to <br />each utility that participates in the American Public Power Association's eReliability Tracker <br />ffetyilm. APPA created the eReliability Tracker Annual Report to assist utilities in their e <br />understand and analyze their electric system. In 2012, APPA developed the eReliability Tracker <br />fG fe\m4uprrtefmoo[DBEM)emonstration of Energy & E <br />program. <br />fts dz0a time eReliability Tracker from January 1, 2023 to December 31, 2023. <br />tbtsjoualytilitogJtbth :ttgsriipyedycianot have a full year of <br />data in the system. The report includes data recorded as of March 15, 2024. <br />Redialbdttyhretoric and ongoing engineering investment decisions within a utility. <br />Proper use of reliability metrics ensures that a utility is performing its intended function and is <br />ffctividiingrsee.ice in a consistent and e <br />While the primary use of reliability statistics is for self -evaluation, you can use these statistics <br />ffaarmai !psrffutilities. However, di <br />§umation, ambient environment, weather conditions, and number of customers served <br />typically limit most utility -to -utility comparisons. Due to the diverse range of utilities that use <br />the eReliability Tracker, this report endeavors to improve comparative analyses by grouping <br />utilities by size and region. <br />Since this report contains data for all utilities that use the eReliability Tracker, it is important to <br />fiati6irha�b Gi ticbl�r�gldar e3sffnall utility can a <br />the issues associated with comparability, each utility's reliability statistics are weighted based <br />on customer count when aggregated. This means that all utilities are equally weighted, and all <br />individual statistics are developed on a per customer basis. <br />Etie260gregate statistics in this report are calculated from the 324 utilities with veri <br />outage data. Utilities that experienced no outages in 2023, or did not upload any data, will <br />6aJ1d,vD�eela�rir`iel'udas� in their report for utility-speci <br />the aggregate analysis. Also note that log -normal data with a z-score! greater than 3.25 may <br />fianilyclaiidt&tt itl-fdgjgregate statistics. <br />ffrAfzcmtledrmdemtegdrrdvwsroaucie,aaciDtagrreint di <br />of 3.25 indicates that the data point is three and one -quarter standard deviations from <br />the mean. A z-score of 0 indicates that the data point is identical to the mean. <br />Pj <br />