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Modeling daily energy use in British homes amidst the electricity market crisis: Insights from smart meter and socio-technical data

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  • Chang, Lei
  • Narbaev, Timur
  • Taghizadeh-Hesary, Farhad
  • Mohsin, Muhammad

Abstract

This study examines the factors influencing daily electricity use in UK homes during the electricity market crisis. Using data from smart meters and socio-technical sources, the research identifies key drivers of electricity consumption, such as household size, weather conditions, and appliance use. Results from a sample of British homes, analyzed through linear mixed effects modeling, show that households with more occupants, greater number of adults, higher heating settings, and fewer energy-saving efforts consume more energy. Weather, housing type, and air conditioning also play significant roles. The findings highlight the importance of integrating smart meter data with other sources to develop effective energy-saving strategies and inform targeted conservation policies.

Suggested Citation

  • Chang, Lei & Narbaev, Timur & Taghizadeh-Hesary, Farhad & Mohsin, Muhammad, 2024. "Modeling daily energy use in British homes amidst the electricity market crisis: Insights from smart meter and socio-technical data," Energy Economics, Elsevier, vol. 139(C).
    • Handle: RePEc:eee:eneeco:v:139:y:2024:i:c:s0140988324006418
    DOI: 10.1016/j.eneco.2024.107933
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