A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector
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Abstract (arXiv)
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.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 May 2020.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 1; 2025: 0; 2026: 2.
8 papers.
- 2021A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Gridscited by 11
- 2023Adaptive Probabilistic Forecasting of Electricity (Net-)Loadcited by 8
- 2022Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AIcited by 6
- 2021Improving Load Forecast in Energy Markets During COVID-19cited by 1
- 2022Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutralitycited by 0
- 2024News and Load: Social and Economic Drivers of Regional Multi-horizon Electricity Demand Forecastingcited by 0
- 2026TS-Fault: Benchmarking Time Series Forecasters Against Structural Faultscited by 0
- 2026Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecastingcited by 0
- 2026Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting22 Jun 2026
- 2026TS-Fault: Benchmarking Time Series Forecasters Against Structural Faults16 Jun 2026
- 2024News and Load: Social and Economic Drivers of Regional Multi-horizon Electricity Demand Forecasting9 Jun 2024
- 2023Adaptive Probabilistic Forecasting of Electricity (Net-)Load24 Jan 2023
- 2022Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality2 Nov 2022
- 2022Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI10 May 2022
- 2021A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids12 Oct 2021
- 2021Improving Load Forecast in Energy Markets During COVID-191 Oct 2021