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DC Field | Value | Language |
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dc.contributor.author | Pan, K | - |
dc.contributor.author | Chen, Z | - |
dc.contributor.author | Lai, CS | - |
dc.contributor.author | Xie, C | - |
dc.contributor.author | Wang, D | - |
dc.contributor.author | Li, X | - |
dc.contributor.author | Zhao, Z | - |
dc.contributor.author | Tong, N | - |
dc.contributor.author | Lai, LL | - |
dc.date.accessioned | 2022-01-07T13:54:32Z | - |
dc.date.available | 2022-01-07T13:54:32Z | - |
dc.date.issued | 2022-01-06 | - |
dc.identifier | 118450 | - |
dc.identifier.citation | Pan, 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.issn | 0306-2619 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23898 | - |
dc.description.sponsorship | Department 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.extent | 1 - 18 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier BV | en_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.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | behind-the-meter | en_US |
dc.subject | net load disaggregation | en_US |
dc.subject | energy consumption | en_US |
dc.subject | PV power generation | en_US |
dc.subject | net load | en_US |
dc.subject | data-driven | en_US |
dc.title | An unsupervised data-driven approach for behind-the-meter photovoltaic power generation disaggregation | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.apenergy.2021.118450 | - |
dc.relation.isPartOf | Applied Energy | - |
pubs.publication-status | Published | - |
pubs.volume | 309 | - |
dc.identifier.eissn | 1872-9118 | - |
Appears in Collections: | Brunel OA Publishing Fund Dept of Electronic and Electrical Engineering Research Papers |
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