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An unsupervised data-driven approach for behind-the-meter photovoltaic power generation disaggregation

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  • معلومة اضافية
    • بيانات النشر:
      Elsevier BV
    • الموضوع:
      2022
    • Collection:
      Brunel University London: Brunel University Research Archive (BURA)
    • نبذة مختصرة :
      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.
    • File Description:
      1 - 18; Print-Electronic
    • ISSN:
      0306-2619
      1872-9118
    • Relation:
      Applied Energy; 118450; 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.; https://bura.brunel.ac.uk/handle/2438/23898; https://doi.org/10.1016/j.apenergy.2021.118450
    • الرقم المعرف:
      10.1016/j.apenergy.2021.118450
    • الدخول الالكتروني :
      https://bura.brunel.ac.uk/handle/2438/23898
      https://doi.org/10.1016/j.apenergy.2021.118450
    • 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 ; https://creativecommons.org/licenses/by-nc-nd/4.0/
    • الرقم المعرف:
      edsbas.3DE29236