An evaluation of the impact of COVID-19 lockdowns on electricity demand

, , , & Wang, You-Gan (2023) An evaluation of the impact of COVID-19 lockdowns on electricity demand. Electric Power Systems Research, 216, Article number: 109015.

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Description

The COVID-19 pandemic has given rise to significant changes in electricity demand around the world. Although these changes differ from region to region, countries that have implemented stringent lockdown measures to curtail the spread of the virus have experienced the greatest alterations in demand. Within Australia, the state of Victoria has been subject to the largest number of days in hard lockdown during the COVID-19 pandemic. We conduct an exploratory data analysis to identify predictors of demand, and have built a time series forecasting model to predict the half-hourly electricity demand in Victoria. Our model distinguishes between lockdown periods and non-restrictive periods, and aims to identify a variety of patterns that we show to be influential on electricity demand. The model thereby provides a nuanced prediction of electricity demand that captures the shifting demand profile of intermittent lockdowns.

Impact and interest:

11 citations in Scopus
5 citations in Web of Science®
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ID Code: 236562
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Wu, Jinranorcid.org/0000-0002-2388-3614
Araujo, Robynorcid.org/0000-0002-3360-2214
Additional Information: Acknowledgments; This work was supported in part by the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) , under grant number CE140100049. Our R code will be made available in GitHub upon this work is online available.
Measurements or Duration: 10 pages
DOI: 10.1016/j.epsr.2022.109015
ISSN: 0378-7796
Pure ID: 118018988
Divisions: Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Mathematical Sciences
Funding:
Copyright Owner: 2022 Elsevier B.V.
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Deposited On: 29 Nov 2022 04:12
Last Modified: 15 Jul 2024 06:16