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The SERL Observatory Dataset: Longitudinal Smart Meter Electricity and Gas Data, Survey, EPC and Climate Data for over 13,000 Households in Great Britain

Author

Listed:
  • Ellen Webborn

    (UCL Energy Institute, University College London, 14 Upper Woburn Place, London WC1H 0NN, UK)

  • Jessica Few

    (UCL Energy Institute, University College London, 14 Upper Woburn Place, London WC1H 0NN, UK)

  • Eoghan McKenna

    (UCL Energy Institute, University College London, 14 Upper Woburn Place, London WC1H 0NN, UK)

  • Simon Elam

    (UCL Energy Institute, University College London, 14 Upper Woburn Place, London WC1H 0NN, UK)

  • Martin Pullinger

    (UCL Energy Institute, University College London, 14 Upper Woburn Place, London WC1H 0NN, UK)

  • Ben Anderson

    (Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK)

  • David Shipworth

    (UCL Energy Institute, University College London, 14 Upper Woburn Place, London WC1H 0NN, UK)

  • Tadj Oreszczyn

    (UCL Energy Institute, University College London, 14 Upper Woburn Place, London WC1H 0NN, UK)

Abstract

The Smart Energy Research Lab (SERL) Observatory dataset described here comprises half-hourly and daily electricity and gas data, SERL survey data, Energy Performance Certificate (EPC) input data and 24 local hourly climate reanalysis variables from the European Centre for Medium-Range Weather Forecasts (ECMWF) for over 13,000 households in Great Britain (GB). Participants were recruited in September 2019, September 2020 and January 2021 and their smart meter data are collected from up to one year prior to sign up. Data collection will continue until at least August 2022, and longer if funding allows. Survey data relating to the dwelling, appliances, household demographics and attitudes were collected at sign up. Data are linked at the household level and UK-based academic researchers can apply for access within a secure virtual environment for research projects in the public interest. This is a data descriptor paper describing how the data were collected, the variables available and the representativeness of the sample compared to national estimates. It is intended to be a guide for researchers working with or considering using the SERL Observatory dataset, or simply looking to learn more about it.

Suggested Citation

  • Ellen Webborn & Jessica Few & Eoghan McKenna & Simon Elam & Martin Pullinger & Ben Anderson & David Shipworth & Tadj Oreszczyn, 2021. "The SERL Observatory Dataset: Longitudinal Smart Meter Electricity and Gas Data, Survey, EPC and Climate Data for over 13,000 Households in Great Britain," Energies, MDPI, vol. 14(21), pages 1-37, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6934-:d:662008
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    References listed on IDEAS

    as
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    2. Jacqueline Nicole Adams & Zsófia Deme Bélafi & Miklós Horváth & János Balázs Kocsis & Tamás Csoknyai, 2021. "How Smart Meter Data Analysis Can Support Understanding the Impact of Occupant Behavior on Building Energy Performance: A Comprehensive Review," Energies, MDPI, vol. 14(9), pages 1-23, April.
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    6. Ellen Webborn & Tadj Oreszczyn, 2019. "Champion the energy data revolution," Nature Energy, Nature, vol. 4(8), pages 624-626, August.
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