Analysis and Modeling of the Impact of Covid-19 Response Measures on Power Demand

J. Chakraborty, S. V. Chakraborty, S. Shukla
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Abstract

Different countries and regions across the world have adopted various responses and containment measures since the early part of 2020 to control the spread of the coronavirus causing Covid-19. These measures have caused significant changes in peoples' mobility, utilization of commercial and industrial facilities, deployment of government resources to provide necessary financial sustenance and support public health. In this study, we have analyzed the impact of these response measures on aggregate electric load in 4 different regions in the US and tried to identify how the load forecasting models may need to be changed post-pandemic. The key findings from our research include (1) the confirmation of a paradigm change in the nature of power demand before and after the pandemic, (2) the emergence of Covid-19 response related factors as predictors of load, and, (3) the reduction in relative importance of traditional load-influencing factors, including temperature, during the pandemic.
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新冠肺炎疫情应对措施对电力需求影响的分析与建模
自2020年初以来,世界不同国家和地区采取了各种应对措施和防控措施,以控制新冠肺炎的传播。这些措施在人员流动、商业和工业设施的利用、部署政府资源以提供必要的财政支持和支持公共卫生方面造成了重大变化。在这项研究中,我们分析了这些响应措施对美国4个不同地区总电力负荷的影响,并试图确定疫情后负荷预测模型可能需要如何改变。我们研究的主要发现包括:(1)确认了疫情前后电力需求性质的范式变化,(2)新冠肺炎应对相关因素作为负荷预测因素的出现,以及(3)疫情期间传统负荷影响因素(包括温度)的相对重要性降低。
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