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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23898
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dc.contributor.authorPan, K-
dc.contributor.authorChen, Z-
dc.contributor.authorLai, CS-
dc.contributor.authorXie, C-
dc.contributor.authorWang, D-
dc.contributor.authorLi, X-
dc.contributor.authorZhao, Z-
dc.contributor.authorTong, N-
dc.contributor.authorLai, LL-
dc.date.accessioned2022-01-07T13:54:32Z-
dc.date.available2022-01-07T13:54:32Z-
dc.date.issued2022-01-06-
dc.identifier118450-
dc.identifier.citationPan, K., Chen, Z., Lai, C.S., Xie, C., Wang, D., Li, X., Zhao, Z., Tong, N. and Lai, L.L. (2022) 'An unsupervised data-driven approach for behind-the-meter photovoltaic power generation disaggregation', Applied Energy, 309, 118450, pp. 1-18. doi: 10.1016/j.apenergy.2021.118450.en_US
dc.identifier.issn0306-2619-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23898-
dc.description.sponsorshipDepartment of Finance and Education of Guangdong Province 2016 [202]: Key Discipline Construction Program, China; Education Department of Guangdong Province: New and Integrated Energy System Theory and Technology Research Group [Project Number 2016KCXTD022]; National Natural Science Foundation of China (51907031); Brunel University London BRIEF Funding, UK.en_US
dc.format.extent1 - 18-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherElsevier BVen_US
dc.rights© 2022 Elsevier Ltd. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.apenergy.2021.118450-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectbehind-the-meteren_US
dc.subjectnet load disaggregationen_US
dc.subjectenergy consumptionen_US
dc.subjectPV power generationen_US
dc.subjectnet loaden_US
dc.subjectdata-drivenen_US
dc.titleAn unsupervised data-driven approach for behind-the-meter photovoltaic power generation disaggregationen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.apenergy.2021.118450-
dc.relation.isPartOfApplied Energy-
pubs.publication-statusPublished-
pubs.volume309-
dc.identifier.eissn1872-9118-
Appears in Collections:Brunel OA Publishing Fund
Dept of Electronic and Electrical Engineering Research Papers

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