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Electricity consumption variation versus economic structure during COVID-19 on metropolitan statistical areas in the US.
Wang, Jinning; Li, Fangxing; Cui, Hantao; Shi, Qingxin; Mingee, Trey.
  • Wang J; Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, 37996, USA.
  • Li F; Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, 37996, USA. fli6@utk.edu.
  • Cui H; Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, 37996, USA.
  • Shi Q; Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, 37996, USA.
  • Mingee T; Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, 37996, USA.
Nat Commun ; 13(1): 7122, 2022 Nov 19.
Статья в английский | MEDLINE | ID: covidwho-2133426
ABSTRACT
The outbreak of novel coronavirus disease (COVID-19) has resulted in changes in productivity and daily life patterns, and as a result electricity consumption (EC) has also shifted. In this paper, we construct estimates of EC changes at the metropolitan level across the continental U.S., including total EC and residential EC during the initial two months of the pandemic. The total and residential data on the state level were broken down into the county level, and then metropolitan level EC estimates were aggregated from the counties included in each metropolitan statistical area (MSA). This work shows that the reduction in total EC is related to the shares of certain industries in an MSA, whereas regardless of the incidence level or economic structure, the residential sector shows a trend of increasing EC across the continental U.S. Since the MSAs account for 86% of the total population and 87% of the total EC of the continental U.S., the analytical result in this paper can provide important guidelines for future social-economic crises.
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Полный текст: Имеется в наличии Коллекция: Международные базы данных база данных: MEDLINE Основная тема: COVID-19 Тип исследования: Наблюдательное исследование Пределы темы: Люди Язык: английский Журнал: Nat Commun Тематика журнала: Биология / Наука Год: 2022 Тип: Статья Аффилированная страна: S41467-022-34447-7

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Полный текст: Имеется в наличии Коллекция: Международные базы данных база данных: MEDLINE Основная тема: COVID-19 Тип исследования: Наблюдательное исследование Пределы темы: Люди Язык: английский Журнал: Nat Commun Тематика журнала: Биология / Наука Год: 2022 Тип: Статья Аффилированная страна: S41467-022-34447-7