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

Authors :
Ruan, Guangchun
Wu, Dongqi
Zheng, Xiangtian
Zhong, Haiwang
Kang, Chongqing
Dahleh, Munther A.
Sivaranjani, S.
Xie, Le
Source :
Joule; November 2020, Vol. 4 Issue: 11 p2322-2337, 16p
Publication Year :
2020

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.

Details

Language :
English
ISSN :
25424351
Volume :
4
Issue :
11
Database :
Supplemental Index
Journal :
Joule
Publication Type :
Periodical
Accession number :
ejs54641551
Full Text :
https://doi.org/10.1016/j.joule.2020.08.017