arXiv (Cornell University) · 2020 · 57 citations · 12 references
Natural ResourcesData ScienceData AnalyticsEnergy EconomicsPredictive AnalyticsData IntegrationElectricity MarketsEpidemic ForecastingPandemic ResponsePower Sector EconomicsPublic Health Data IntegrationData Analytics For Power SystemsElectricity Consumption ForecastingElectricity Market AnalysisElectricity PricingMobility Data AnalysisPower System OperationSatellite Data IntegrationWholesale Energy Markets
The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the U.S. becoming the epicenter of COVID-19 cases since late March. As the U.S. 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 U.S. wholesale electricity markets with COVID-19 case, weather, cellular location, and satellite imaging data. Leveraging cross-domain insights from public health and mobility data, we uncover a significant reduction in electricity consumption across that is strongly correlated with the rise in the number of COVID-19 cases, degree of social distancing, and level of commercial activity.
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Christopher A. Sims · Econometrica · 1980 · 12.7K citations
Electricity use and economic development
R. B. Ferguson, William Wilkinson, R. Hill · Energy Policy · 2000 · 405 citations
The Short-run and Long-run Effects of Covid-19 on Energy and the Environment
Kenneth Gillingham, Christopher R. Knittel, Jing Li et al. · Joule · 2020 · 223 citations · Full text
Natural Sciences, Environmental Sciences, Energy Economics +11