# A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector

arXiv: https://arxiv.org/abs/2005.06631 · HTML: https://mlsanity.com/paper/2005.06631/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 May 2020.

## Built on by (most cited first, 9 of 9)

- [A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids](https://mlsanity.com/paper/2110.06324/) (2021)
- [Adaptive Probabilistic Forecasting of Electricity (Net-)Load](https://mlsanity.com/paper/2301.10090/) (2023)
- [Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI](https://mlsanity.com/paper/2205.05180/) (2022)
- [Improving Load Forecast in Energy Markets During COVID-19](https://mlsanity.com/paper/2110.00181/) (2021)
- [Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality](https://mlsanity.com/paper/2211.04584/) (2022)
- [News and Load: Social and Economic Drivers of Regional Multi-horizon Electricity Demand Forecasting](https://mlsanity.com/paper/2406.06641/) (2024)
- [TS-Fault: Benchmarking Time Series Forecasters Against Structural Faults](https://mlsanity.com/paper/2606.18539/) (2026)
- [Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting](https://mlsanity.com/paper/2606.23425/) (2026)
- [Time Series Forecasting Benchmarks Need Scenario-Grounded Stress Testing](https://mlsanity.com/paper/2610.02608/) (2026)

## 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.