Webborn, E.; Few, J.; McKenna, E.; Elam, S.; Pullinger, M.; Anderson, B.; Shipworth, D.; Oreszczyn, T. The SERL Observatory Dataset: Longitudinal Smart Meter Electricity and Gas Data, Survey, EPC and Climate Data for over 13,000 Households in Great Britain. Energies2021, 14, 6934.
Webborn, E.; Few, J.; McKenna, E.; Elam, S.; Pullinger, M.; Anderson, B.; Shipworth, D.; Oreszczyn, T. 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 2021, 14, 6934.
Webborn, E.; Few, J.; McKenna, E.; Elam, S.; Pullinger, M.; Anderson, B.; Shipworth, D.; Oreszczyn, T. The SERL Observatory Dataset: Longitudinal Smart Meter Electricity and Gas Data, Survey, EPC and Climate Data for over 13,000 Households in Great Britain. Energies2021, 14, 6934.
Webborn, E.; Few, J.; McKenna, E.; Elam, S.; Pullinger, M.; Anderson, B.; Shipworth, D.; Oreszczyn, T. 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 2021, 14, 6934.
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 was 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 was collected, the variables available and the representativeness of the sample compared to national estimates. It is intended as 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
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.