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

Ellen Webborn, Jessica Few, Eoghan McKenna, Simon Elam, Martin Pullinger, Ben Anderson, David Shipworth and Tadj Oreszczyn
Additional contact information
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

Energies, 2021, vol. 14, issue 21, 1-37

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.

Keywords: smart meter data; household survey; EPC; energy data; energy demand; energy consumption; longitudinal; energy modelling; electricity data; gas data (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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