Analyzing the impact of COVID-19 on the electricity demand in Austin, TX using an ensemble-model based counterfactual and 400,000 smart meters
Abstract The COVID-19 pandemic caused lifestyle changes and has led to the new electricity demand patterns in the presence of non-pharmaceutical interventions such as work-from-home policy and lockdown. Quantifying the effect on electricity demand is critical for future electricity market planning y...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2023-05-01
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Series: | Computational Urban Science |
Subjects: | |
Online Access: | https://doi.org/10.1007/s43762-023-00095-w |