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

Christa Brelsford; Sarah Tennille; Aaron Myers; Supriya Chinthavali; Varisara Tansakul; Matthew Denman; Mark Coletti; Joshua Grant; Sangkeun Lee; Karl Allen; Evelyn Johnson; Jonathan Huihui; Alec Hamaker; Scott Newby; Kyle Medlen; Dakotah Maguire; Chelsey Dunivan Stahl; Jessica Moehl; Daniel Redmon; Jibonananda Sanyal; Budhendra Bhaduri

doi:10.1038/s41597-024-03095-5

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

Christa Brelsford, Sarah Tennille, Aaron Myers, Supriya Chinthavali, Varisara Tansakul, Matthew Denman, Mark Coletti, Joshua Grant, Sangkeun Lee, Karl Allen, Evelyn Johnson, Jonathan Huihui, Alec Hamaker, Scott Newby, Kyle Medlen, Dakotah Maguire, Chelsey Dunivan Stahl, Jessica Moehl, Daniel Redmon, Jibonananda SanyalBudhendra Bhaduri

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Article number	271
Journal	Scientific Data
Volume	11
Issue number	1
DOIs	https://doi.org/10.1038/s41597-024-03095-5
State	Published - Dec 2024

Funding

This work was supported by the Department of Energy Office of Cybersecurity, Energy Security, and Emergency Response (DOE CESER) under contract number 31256. We gratefully acknowledge the contributions of Arjun Shankar, who led the conceptual design of an early version of EAGLE-I and initial system deployment/transfer to ORNL; Alexandre Sorokine who was part of initial deployment of an early version of EAGLE-I and focused on system architecture, coding, operation, and online contributions from utilities; Femi Omitaomu who contributed to the conceptual design of an early version of the EAGLE-I platform and user interactions; Melissa Allen-Dumas, who contributed to conceptual design of an early version of EAGLE-I; and Sisi Duan who contributed to parser code development and maintenance. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This work was supported by the Department of Energy Office of Cybersecurity, Energy Security, and Emergency Response (DOE CESER) under contract number 31256. We gratefully acknowledge the contributions of Arjun Shankar, who led the conceptual design of an early version of EAGLE-I and initial system deployment/transfer to ORNL; Alexandre Sorokine who was part of initial deployment of an early version of EAGLE-I and focused on system architecture, coding, operation, and online contributions from utilities; Femi Omitaomu who contributed to the conceptual design of an early version of the EAGLE-I platform and user interactions; Melissa Allen-Dumas, who contributed to conceptual design of an early version of EAGLE-I; and Sisi Duan who contributed to parser code development and maintenance. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).

Funders	Funder number
DOE Public Access Plan
Melissa Allen-Dumas
U.S. Department of Energy	31256, DE-AC05-00OR22725
Oak Ridge National Laboratory

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Brelsford, C., Tennille, S., Myers, A., Chinthavali, S., Tansakul, V., Denman, M., Coletti, M., Grant, J., Lee, S., Allen, K., Johnson, E., Huihui, J., Hamaker, A., Newby, S., Medlen, K., Maguire, D., Dunivan Stahl, C., Moehl, J., Redmon, D., ... Bhaduri, B. (2024). A dataset of recorded electricity outages by United States county 2014–2022. Scientific Data, 11(1), Article 271. https://doi.org/10.1038/s41597-024-03095-5

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title = "A dataset of recorded electricity outages by United States county 2014–2022",

abstract = "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-ITM), 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.",

author = "Christa Brelsford and Sarah Tennille and Aaron Myers and Supriya Chinthavali and Varisara Tansakul and Matthew Denman and Mark Coletti and Joshua Grant and Sangkeun Lee and Karl Allen and Evelyn Johnson and Jonathan Huihui and Alec Hamaker and Scott Newby and Kyle Medlen and Dakotah Maguire and {Dunivan Stahl}, Chelsey and Jessica Moehl and Daniel Redmon and Jibonananda Sanyal and Budhendra Bhaduri",

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Brelsford, C, Tennille, S , Myers, A , Chinthavali, S, Tansakul, V, Denman, M, Coletti, M, Grant, J, Lee, S, Allen, K, Johnson, E, Huihui, J, Hamaker, A, Newby, S, Medlen, K, Maguire, D, Dunivan Stahl, C, Moehl, J, Redmon, D, Sanyal, J & Bhaduri, B 2024, 'A dataset of recorded electricity outages by United States county 2014–2022', Scientific Data, vol. 11, no. 1, 271. https://doi.org/10.1038/s41597-024-03095-5

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AU - Brelsford, Christa

AU - Tennille, Sarah

AU - Myers, Aaron

AU - Chinthavali, Supriya

AU - Tansakul, Varisara

AU - Denman, Matthew

AU - Coletti, Mark

AU - Grant, Joshua

AU - Lee, Sangkeun

AU - Allen, Karl

AU - Johnson, Evelyn

AU - Huihui, Jonathan

AU - Hamaker, Alec

AU - Newby, Scott

AU - Medlen, Kyle

AU - Maguire, Dakotah

AU - Dunivan Stahl, Chelsey

AU - Moehl, Jessica

AU - Redmon, Daniel

AU - Sanyal, Jibonananda

AU - Bhaduri, Budhendra

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

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