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An evaluation of the impact of COVID-19 lockdowns on electricity demand
Wu, Jinran Levi, Noa Araujo, Robyn Wang, You-Gan
Wu, Jinran
Levi, Noa
Araujo, Robyn
Wang, You-Gan
Author
Wu, Jinran
Levi, Noa
Araujo, Robyn
Wang, You-Gan
Levi, Noa
Araujo, Robyn
Wang, You-Gan
Abstract
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.
Keywords
statistical modelling, time series, demand pattern, Victoria
Date
2023
Type
Journal article
Journal
Electric Power Systems Research
Book
Volume
216
Issue
Page Range
1-10
Article Number
Article 109015
ACU Department
Institute for Positive Psychology and Education
Faculty of Education and Arts
Institute for Learning Sciences and Teacher Education (ILSTE)
Faculty of Education and Arts
Institute for Learning Sciences and Teacher Education (ILSTE)
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Source URL
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Open Access Status
License
All rights reserved
File Access
Controlled