SFR Modelling for Hybrid Power Systems Based on Deep Transfer Learning

Zhang, J, Wang, Y, Li, H et al. (4 more authors) (2023) SFR Modelling for Hybrid Power Systems Based on Deep Transfer Learning. IEEE Transactions on Industrial Informatics. ISSN 1551-3203



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Keywords: System frequency response, Power system modelling, System identification, Deep neural networks, Transfer learning
  • Accepted: 23 March 2023
  • Published (online): 30 March 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 27 Mar 2023 12:54
Last Modified: 12 May 2023 01:33
Status: Published online
Publisher: IEEE
Identification Number: