SFR Modelling for Hybrid Power Systems Based on Deep Transfer Learning

Zhang, J, Wang, Y, Li, H et al. (4 more authors) (2024) SFR Modelling for Hybrid Power Systems Based on Deep Transfer Learning. IEEE Transactions on Industrial Informatics, 20 (1). pp. 399-410. ISSN 1551-3203

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Item Type: Article
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Keywords: System frequency response, Power system modelling, System identification, Deep neural networks, Transfer learning
Dates:
  • Published: January 2024
  • Published (online): 30 March 2023
  • Accepted: 23 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: 23 May 2024 14:14
Status: Published
Publisher: IEEE
Identification Number: 10.1109/TII.2023.3262856
Open Archives Initiative ID (OAI ID):

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