Descriptor: United States Event-Correlated Power Outage Dataset (USECPO)

This article 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. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>IEEE SOCIETY/COUNCIL</b> Power and Energy Society (PES) <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>DATA TYPE/LOCATION</b> CSV/USA <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><b>DATA DOI/PID:</b> <uri>https://data.openei.org/submissions/6458</uri>