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The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes

Citation

Pullinger, M and Kilgour, J and Goddard, N and Berliner, N and Webb, L and Dzikovska, M and Lovell, H and Mann, J and Sutton, C and Webb, J and Zhong, M, The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes, Scientific Data, 8 Article 146. ISSN 2052-4463 (2021) [Refereed Article]


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Copyright 2021 the authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.1038/s41597-021-00921-y

Abstract

The IDEAL household energy dataset described here comprises electricity, gas and contextual data from 255 UK homes over a 23-month period ending in June 2018, with a mean participation duration of 286 days. Sensors gathered 1-second electricity data, pulse-level gas data, 12-second temperature, humidity and light data for each room, and 12-second temperature data from boiler pipes for central heating and hot water. 39 homes also included plug-level monitoring of selected electrical appliances, real-power measurement of mains electricity and key sub-circuits, and more detailed temperature monitoring of gas- and heat-using equipment, including radiators and taps. Survey data included occupant demographics, values, attitudes and self-reported energy awareness, household income, energy tariffs, and building, room and appliance characteristics. Linked secondary data comprises weather and level of urbanisation. The data is provided in comma-separated format with a custom-built API to facilitate usage, and has been cleaned and documented. The data has a wide range of applications, including investigating energy demand patterns and drivers, modelling building performance, and undertaking Non-Intrusive Load Monitoring research.

Item Details

Item Type:Refereed Article
Keywords:energy data
Research Division:Human Society
Research Group:Sociology
Research Field:Environmental sociology
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Smart grids
UTAS Author:Lovell, H (Professor Heather Lovell)
ID Code:145482
Year Published:2021
Deposited By:Office of the School of Social Sciences
Deposited On:2021-07-22
Last Modified:2021-09-14
Downloads:0

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