A comprehensive review on deep learning approaches in wind forecasting applications

Wu, Z, Luo, G, Yang, Z et al. (3 more authors) (2022) A comprehensive review on deep learning approaches in wind forecasting applications. CAAI Transactions on Intelligence Technology, 7 (2). pp. 129-143. ISSN 2468-2322

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Item Type: Article
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© 2022 The Authors. CAAI Transactions on Intelligence Technology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: deep learning; deep neural networks; learning (artificial intelligence)
Dates:
  • Published: June 2022
  • Published (online): 18 January 2022
  • Accepted: 11 November 2021
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: 19 Nov 2021 12:27
Last Modified: 04 Sep 2023 15:20
Status: Published
Publisher: Wiley Open Access
Identification Number: 10.1049/cit2.12076
Open Archives Initiative ID (OAI ID):

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