A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector

Author(s)
Ruan, Guangchun; Wu, Dongqi; Zheng, Xiangtian; Zhong, Haiwang; Kang, Chongqing; ... Show more
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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.
Date issued
2020-09
URI
https://hdl.handle.net/1721.1/127832
Department
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
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
ISSN
2542-4351
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