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

Martin Pullinger, Jonathan Kilgour* (Corresponding Author), Nigel Goddard, Niklas Berliner, Lynda Webb, Myroslava Dzikovska, Heather Lovell, Janek Mann, Charles Sutton, Janette Webb, Mingjun Zhong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

AbstractThe 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.
Original languageEnglish
Article number146
Number of pages18
JournalScientific Data
Volume8
Issue number1
Early online date28 May 2021
DOIs
Publication statusPublished - 28 May 2021

Keywords

  • Statistics, Probability and Uncertainty
  • Statistics and Probability
  • Education
  • Library and Information Sciences
  • Information Systems
  • Computer Science Applications

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