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Simon Elam

Biographic Data

ID6904262
NAMESimon Elam
GIVEN NAMESSimon
FAMILY NAMEElam
SIGNATUREELAM S
AFFILIATIONSEnergy Institute
ORCID0000-0002-6880-588X
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Residential electricity and gas demand in Great Britain

    Open Access•Martin Pullinger, Ellen Zapata-Webborn et al.•ARTICLE•Energy Research & Social Science•2026

    Understanding household energy demand patterns is essential for effective energy system planning and policy design. This study identifies household electricity and gas ‘demand archetypes’ which capture the typical summer and winter weekday demand profiles for each home. We apply logistic regression with household survey data to identify correlations with those archetypes. Our study uses half-hourly smart meter data from the Smart Energy Research …

  • Tracking energy signatures of British homes from 2020 to 2025

    Open Access•Clare Hanmer, Jessica Few et al.•ARTICLE•Buildings and Cities•2026•References: 1

    The power temperature gradient (PTG) method for deriving an energy signature (a set of parameters that describe the in-use energy performance of a building) is applied to a large smart meter dataset. The resulting parameters are shown for British homes (n = 3899) over a five-year period. Although these parameters are strongly influenced by the buildings’ physical properties, variation in occupant behaviour in buildings that have not been physical…

  • Survey study on energy use in UK homes during Covid-19

    Open Access•Gesche Huebner, Nicole E Watson et al.•ARTICLE•Buildings and Cities•2021•References: 1

    To contain the spread of Covid-19, governments across the world imposed partial or complete lockdowns. National energy demand decreased in periods of lockdowns; however, as people spent more time at home, residential energy use likely increased. This paper reports the results of a UK survey study ( N = 1016 participants) about their energy-use practices during the first lockdown in March 2020. The results indicated that self-reported heating beha…

  • Increasing response rates and improving research design

    Open Access•Ellen Webborn, Eoghan McKenna et al.•ARTICLE•Energy Research & Social Science•2021•Cited by: 1•References: 10

  • Increasing response rates and improving research design

    Open Access•Ellen Webborn, Eoghan McKenna et al.•ARTICLE•Energy Research & Social Science•2021•Cited by: 1•References: 10

  • Survey study on energy use in UK homes during Covid-19

    Open Access•Gesche Huebner, Nicole E Watson et al.•ARTICLE•Buildings and Cities•2021•References: 1

    To contain the spread of Covid-19, governments across the world imposed partial or complete lockdowns. National energy demand decreased in periods of lockdowns; however, as people spent more time at home, residential energy use likely increased. This paper reports the results of a UK survey study ( N = 1016 participants) about their energy-use practices during the first lockdown in March 2020. The results indicated that self-reported heating beha…

  • Increasing response rates and improving research design

    Open Access•Ellen Webborn, Eoghan McKenna et al.•ARTICLE•Energy Research & Social Science•2021•Cited by: 1•References: 10

  • Residential electricity and gas demand in Great Britain

    Open Access•Martin Pullinger, Ellen Zapata-Webborn et al.•ARTICLE•Energy Research & Social Science•2026

    Understanding household energy demand patterns is essential for effective energy system planning and policy design. This study identifies household electricity and gas ‘demand archetypes’ which capture the typical summer and winter weekday demand profiles for each home. We apply logistic regression with household survey data to identify correlations with those archetypes. Our study uses half-hourly smart meter data from the Smart Energy Research …

  • Tracking energy signatures of British homes from 2020 to 2025

    Open Access•Clare Hanmer, Jessica Few et al.•ARTICLE•Buildings and Cities•2026•References: 1

    The power temperature gradient (PTG) method for deriving an energy signature (a set of parameters that describe the in-use energy performance of a building) is applied to a large smart meter dataset. The resulting parameters are shown for British homes (n = 3899) over a five-year period. Although these parameters are strongly influenced by the buildings’ physical properties, variation in occupant behaviour in buildings that have not been physical…

Energy (signal processing (2 works) · Energy Efficiency and Management (2 works) · Relevance (law (2 works) · Architectural engineering (1 work) · Biology (1 work) · Building Energy and Comfort Optimization (1 work) · Business (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 impact on air quality (1 work) · Demographic economics (1 work)

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