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dc.contributor.authorPullinger, Martin
dc.contributor.authorKilgour, Jonathan
dc.contributor.authorGoddard, Nigel
dc.contributor.authorBerliner, Niklas
dc.contributor.authorWebb, Lynda
dc.contributor.authorDzikovska, Myroslava
dc.contributor.authorLovell, Heather
dc.contributor.authorMann, Janek
dc.contributor.authorSutton, Charles
dc.contributor.authorWebb, Janette
dc.contributor.authorZhong, Mingjun
dc.date.accessioned2021-06-09T21:34:01Z
dc.date.available2021-06-09T21:34:01Z
dc.date.issued2021-05-28
dc.identifier.citationPullinger , M , Kilgour , J , Goddard , N , Berliner , N , Webb , L , Dzikovska , M , Lovell , H , Mann , J , Sutton , C , Webb , J & Zhong , M 2021 , ' The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes ' , Scientific Data , vol. 8 , no. 1 , 146 . https://doi.org/10.1038/s41597-021-00921-yen
dc.identifier.issn2052-4463
dc.identifier.otherPURE: 194725498
dc.identifier.otherPURE UUID: b3766241-9680-4863-a2a6-b97f8c7ef6ab
dc.identifier.otherJisc: baca79cf1902478a8b8250e8d0c03d07
dc.identifier.otherScopus: 85106992160
dc.identifier.otherORCID: /0000-0002-1525-1270/work/95579965
dc.identifier.urihttps://hdl.handle.net/2164/16653
dc.descriptionThis paper is based on research funded by the UK Engineering and Physical Sciences Research Council and undertaking in the projects Intelligent Domestic Energy Advice Loop (grant reference EP/K002732/1) and Data-Driven Methods for a New National Household Energy Survey (grant reference EP/M008223/1). The authors are grateful to the research funding agency and to all those who participated directly in these projects alongside the authors: Prof. D.K. Arvind, Cillian Brewitt, Edmund Farrow, Elaine Farrow, Prof. Johanna Moore, Dr. Evan Morgan and Prof. David Shipworth. Thanks also to the participants in the project, whose participation made this dataset and other work in the projects possible, and to Changeworks (https://www.changeworks.org.uk/) for identifying and recruiting potential participants, managing participant interactions, and installing and maintaining homes’ sensor and app systemsen
dc.format.extent18
dc.language.isoeng
dc.relation.ispartofScientific Dataen
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectStatistics, Probability and Uncertaintyen
dc.subjectStatistics and Probabilityen
dc.subjectEducationen
dc.subjectLibrary and Information Sciencesen
dc.subjectInformation Systemsen
dc.subjectComputer Science Applicationsen
dc.subjectTX Home economicsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/K002732/1en
dc.subjectEP/M008223/1en
dc.subject.lccTXen
dc.subject.lccQA75en
dc.titleThe IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1038/s41597-021-00921-y
dc.identifier.vol8en
dc.identifier.iss1en


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