A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector
Name
2005.06631.pdf
Size
7.39 MB
Format
Adobe PDF
Checksum (MD5)
42763cde167cdcde2fec7571aec70a76
Author(s)
Ruan, Guangchun
Wu, Dongqi
Zheng, Xiangtian
Zhong, Haiwang
Kang, Chongqing
Dahleh, Munther A
Sivaranjani, S.
Xie, Le
Date Issued
September 2020
Journal
Joule
Publisher
Elsevier BV
Citation
Ruan, Guangchun et al. "A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector." Joule (September 2020): 1-16 © 2020 Elsevier Inc.
Version
Author's final manuscript
Abstract
The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the US becoming the epicenter of COVID-19 cases since late March. As the US begins to gradually resume economic activity, it is imperative for policymakers and power system operators to take a scientific approach to understanding and predicting the impact on the electricity sector. Here, we release a first-of-its-kind cross-domain open-access data hub, integrating data from across all existing US wholesale electricity markets with COVID-19 case, weather, mobile device location, and satellite imaging data. Leveraging cross-domain insights from public health and mobility data, we rigorously uncover a significant reduction in electricity consumption that is strongly correlated with the number of COVID-19 cases, degree of social distancing, and level of commercial activity.
MIT Department
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.joule.2020.08.017
