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

机译:一种分析Covid-19对美国电力部门的短期影响的跨域方法

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摘要

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.
机译:新型冠状病毒病(Covid-19)在2020年迅速传播了全球,美国成为3月下旬以来Covid-19案件的震中。 由于美国开始逐步恢复经济活动,因此政策制定者和电力系统运营商必须采取科学的方法来理解和预测电力部门的影响。 在这里,我们释放了一流的跨域开放访问数据集线器,将数据与Covid-19案例,天气,移动设备位置和卫星成像数据一起集成了所有现有的美国批发电力市场。 利用公共卫生和移动数据的跨域洞察力,我们严格地揭示了电力消耗的显着减少,与Covid-19案件,社会疏散程度和商业活动水平强烈相关。

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  • 来源
    《Joule》 |2020年第11期|2322-2337|共16页
  • 作者单位

    Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA|Tsinghua Univ Dept Elect Engn State Key Lab Control & Simulat Power Syst & Gene Beijing 100084 Peoples R China;

    Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA;

    Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA;

    Tsinghua Univ Dept Elect Engn State Key Lab Control & Simulat Power Syst & Gene Beijing 100084 Peoples R China|Tsinghua Univ Inst Natl Governance & Global Governance Beijing 100084 Peoples R China;

    Tsinghua Univ Dept Elect Engn State Key Lab Control & Simulat Power Syst & Gene Beijing 100084 Peoples R China|Tsinghua Univ Inst Natl Governance & Global Governance Beijing 100084 Peoples R China;

    MIT Inst Data Syst & Soc 77 Massachusetts Ave Cambridge MA 02139 USA;

    Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA;

    Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA|Texas A&M Univ Texas A&M Energy Inst College Stn TX 77843 USA;

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