A dataset of recorded electricity outages by United States county 2014

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

Published:2024-03-05 Issue:1 Volume:11 Page:
ISSN:2052-4463
Container-title:Scientific Data
language:en
Short-container-title:Sci Data

Author:

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

Abstract

AbstractIn 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.

Funder

Department of Energy Office of Cybersecurity, Energy Security, and Emergency Response (DOE CESER), contract no 31256.

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41597-024-03095-5.pdf

Reference23 articles.

1. Muir, A. & Lopatto, J. Final report on the August 14, 2003 blackout in the United States and Canada: causes and recommendations. 238 https://www.osti.gov/etdeweb/biblio/20461178 (2004).

2. Shankar, M., Stovall, J., Sorokine, A., Bhaduri, B. & King, T. Visualizing Energy Resources Dynamically on Earth. in 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century 1–4. https://doi.org/10.1109/PES.2008.4596282 (2008).

3. Barker, A. M. et al. Automating natural disaster impact analysis: An open resource to visually estimate a hurricane’s impact on the electric grid. in 2013 Proceedings of IEEE Southeastcon 1–3. https://doi.org/10.1109/SECON.2013.6567495 (IEEE, 2013).

4. Allen, M. R., Fernandez, S. J., Fu, J. S. & Olama, M. M. Impacts of climate change on sub-regional electricity demand and distribution in the southern United States. Nat Energy 1, 16103 (2016).

5. Kar, B., Bobeck, J., Moss, T. & Hughes, D. Spatiotemporal Tracking of Wide Area Power Outage from Night-Time Light Imagery. in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS 566–569. https://doi.org/10.1109/IGARSS47720.2021.9554293 (2021).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of Historical Power Outages of the United States and the National Risk Index;2024 18th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS);2024-06-24