| Literature DB >> 34050194 |
Martin Pullinger1, Jonathan Kilgour2, Nigel Goddard1, Niklas Berliner1, Lynda Webb1, Myroslava Dzikovska1, Heather Lovell3, Janek Mann1, Charles Sutton1, Janette Webb4, Mingjun Zhong5.
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.Entities:
Year: 2021 PMID: 34050194 DOI: 10.1038/s41597-021-00921-y
Source DB: PubMed Journal: Sci Data ISSN: 2052-4463 Impact factor: 6.444