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Evaluating the effects of the COVID-19 pandemic on electricity consumption patterns in the residential, public, commercial and industrial sectors in Sweden
Swedish Defence University, Department of Systems Science for Defence and Security, Systems Science for Defence and Security Division.
Department of Information Technology, Uppsala University, (SWE).
Department of Civil and Industrial Engineering, Uppsala University, (SWE).
Department of Civil and Industrial Engineering, Uppsala University, (SWE).
2023 (English)In: Energy and AI, ISSN 2666-5468, Vol. 14, article id 100298Article in journal (Refereed) Published
Abstract [en]

The COVID-19 pandemic has had drastic effects on societies around the world. Due to restrictions or recommendations, companies, industries and residents experienced changes in their routines and many people shifted to working from home. This led to alterations in electricity consumption between sectors and changes in daily patterns. Understanding how various properties and features of load patterns in the electricity network were affected is important for forecasting the network's ability to respond to sudden changes and shocks, and helping system operators improve network management and operation. In this study, we quantify the extent to which the COVID-19 pandemic has led to shifts in the electricity consumption patterns of different sectors in Sweden. The results show that working from home during the pandemic has led to an increase in the residential sector's total consumption and changes in its consumption patterns, whereas there were only slight decreases in the industrial sector and relatively few changes in the public and commercial sectors. We discuss the reasons for these changes, the effects that these changes will have on expected future electricity consumption patterns, as well as the effects on potential demand flexibility in a future where working from home has become the new norm.

Place, publisher, year, edition, pages
2023. Vol. 14, article id 100298
Keywords [en]
Electricity consumption, COVID-19, Smart meter data, Regression model, Demand response
National Category
Energy Systems
Research subject
Systems science for defence and security
Identifiers
URN: urn:nbn:se:fhs:diva-11794DOI: 10.1016/j.egyai.2023.100298OAI: oai:DiVA.org:fhs-11794DiVA, id: diva2:1795512
Funder
Swedish Energy AgencyAvailable from: 2023-09-08 Created: 2023-09-08 Last updated: 2023-10-13Bibliographically approved

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van Zoest, Vera

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf