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Descriptor: United States Event-Correlated Power Outage Dataset (USECPO)
Author(s) -
Buxin She,
Veronica Adetola,
Ji Young Yun
Publication year - 2025
Publication title -
ieee data descriptions
Language(s) - English
Resource type - Magazines
eISSN - 2995-4274
DOI - 10.1109/ieeedata.2025.3598229
Subject(s) - computing and processing
This paper presents a comprehensive dataset of event-correlated power outages in the United States, compiled by integrating three critical data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report (DOE-417), and Annual Estimates of the Resident Population for Counties 2024 (CO-EST2024-POP). The EAGLE-I dataset spans eight years (2014-2023) and covers over 146 million customers, providing detailed county-level outage information at 15-minute intervals. The dataset has been processed, filtered, and grouped to provide a refined view of power outages, which are then correlated with DOE-417 data based on geographic location, event start time, and end time. The CO-EST2024-POP dataset supplements the processing by providing county-level population data. For each major disturbance recorded in DOE-417, key metrics are defined and extracted to quantify the event-correlated outages. The dataset enables researchers to analyze outages resulting from major disturbances such as extreme weather, cyberattacks, and physical disruptions, facilitating studies on power system resilience.

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