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A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector
Joule ( IF 39.8 ) Pub Date : 2020-09-21 , DOI: 10.1016/j.joule.2020.08.017
Guangchun Ruan , Dongqi Wu , Xiangtian Zheng , Haiwang Zhong , Chongqing Kang , Munther A. Dahleh , S. Sivaranjani , Le Xie

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.



中文翻译:

一种跨域方法来分析COVID-19对美国电力行业的短期影响

新型冠状病毒病(COVID-19)于2020年在全球迅速传播,自3月下旬以来,美国已成为COVID-19病例的中心。随着美国开始逐渐恢复经济活动,决策者和电力系统运营商必须采取科学的方法来理解和预测对电力部门的影响。在这里,我们发布了首个跨域开放访问数据中心,将来自美国所有现有批发电力市场的数据与COVID-19案例,天气,移动设备位置以及卫星成像数据进行集成。利用来自公共卫生和流动性数据的跨领域见解,我们严格地发现了电力消耗的显着减少,这与COVID-19病例数,社会疏远程度,

更新日期:2020-11-18
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