Cargando…

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

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, humi...

Descripción completa

Detalles Bibliográficos
Autores principales: Pullinger, Martin, Kilgour, Jonathan, Goddard, Nigel, Berliner, Niklas, Webb, Lynda, Dzikovska, Myroslava, Lovell, Heather, Mann, Janek, Sutton, Charles, Webb, Janette, Zhong, Mingjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163809/
https://www.ncbi.nlm.nih.gov/pubmed/34050194
http://dx.doi.org/10.1038/s41597-021-00921-y
Descripción
Sumario: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.