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


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
28 05 2021
Historique:
received: 26 11 2020
accepted: 16 04 2021
entrez: 29 5 2021
pubmed: 30 5 2021
medline: 30 5 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34050194
doi: 10.1038/s41597-021-00921-y
pii: 10.1038/s41597-021-00921-y
pmc: PMC8163809
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

146

Subventions

Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/K002732/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/M008223/1

Références

Sci Data. 2015 Mar 31;2:150007
pubmed: 25984347
Sci Data. 2017 Jan 05;4:160122
pubmed: 28055033

Auteurs

Martin Pullinger (M)

School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK.

Jonathan Kilgour (J)

School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK. jonathan.kilgour@ed.ac.uk.

Nigel Goddard (N)

School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK.

Niklas Berliner (N)

School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK.

Lynda Webb (L)

School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK.

Myroslava Dzikovska (M)

School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK.

Heather Lovell (H)

School of Social Sciences and School of Geography, Planning and Spatial Sciences, University of Tasmania, Hobart, 7001, Australia.

Janek Mann (J)

School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK.

Charles Sutton (C)

School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK.

Janette Webb (J)

School of Social and Political Science, University of Edinburgh, Chisholm House, High School Yards, Edinburgh, EH1 1LZ, UK.

Mingjun Zhong (M)

Department of Computing Science, University of Aberdeen, King's College, Aberdeen, AB24 3FX, UK.

Classifications MeSH