A dataset of recorded electricity outages by United States county 2014–2022

In this Data Descriptor, we present county-level electricity outage estimates at 15-minute intervals from 2014 to 2022. By 2022 92% of customers in the 50 US States, Washington DC, and Puerto Rico are represented. These data have been produced by the Environment for Analysis of Geo-Located Energy In...

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Bibliographic Details
Published in:Scientific data 2024-03, Vol.11 (1), p.271-271, Article 271
Main Authors: Brelsford, Christa, Tennille, Sarah, Myers, Aaron, Chinthavali, Supriya, Tansakul, Varisara, Denman, Matthew, Coletti, Mark, Grant, Joshua, Lee, Sangkeun, Allen, Karl, Johnson, Evelyn, Huihui, Jonathan, Hamaker, Alec, Newby, Scott, Medlen, Kyle, Maguire, Dakotah, Dunivan Stahl, Chelsey, Moehl, Jessica, Redmon, Daniel, Sanyal, Jibonananda, Bhaduri, Budhendra
Format: Article
Language:English
Subjects:
639/4077/4073/4099
706/4066/4064
706/4066/4078
Blackouts
Customer services
Data collection
Data Descriptor
Electric utilities
Electricity
Electricity distribution
Emergency preparedness
Energy
energy access
energy security
Estimates
Geographic information systems
Humanities and Social Sciences
Laboratories
Macroeconomics
multidisciplinary
power distribution
POWER TRANSMISSION AND DISTRIBUTION
Science
Science (multidisciplinary)
Visualization
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Description
Summary:In this Data Descriptor, we present county-level electricity outage estimates at 15-minute intervals from 2014 to 2022. By 2022 92% of customers in the 50 US States, Washington DC, and Puerto Rico are represented. These data have been produced by the Environment for Analysis of Geo-Located Energy Information (EAGLE-I TM ) , a geographic information system and data visualization platform created at Oak Ridge National Laboratory to map the population experiencing electricity outages every 15 minutes at the county level. Although these data do not cover every US customer, they represent the most comprehensive outage information ever compiled for the United States. The rate of coverage increases through time between 2014 and 2022. We present a quantitative Data Quality Index for these data for the years 2018–2022 to demonstrate temporal changes in customer coverage rates by FEMA region and indicators of data collection gaps or other errors.
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-024-03095-5