An adaptive interval construction based GRU model for short-term wind speed interval prediction using two phase search strategy

Liu, Z.H., Wang, C.-T., Wei, H.-L. orcid.org/0000-0002-4704-7346 et al. (3 more authors) (2023) An adaptive interval construction based GRU model for short-term wind speed interval prediction using two phase search strategy. IEEE Open Journal of Signal Processing, 4. pp. 375-389. ISSN 2644-1322

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: Deep learning; time series; interval prediction; gated recurrent unit; dynamic inertia weight particle swarm optimization; short-term wind speed
Dates:
  • Published: 24 July 2023
  • Published (online): 24 July 2023
  • Accepted: 8 July 2023
  • Submitted: 8 April 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/I011056/1
ROYAL SOCIETY
IEC\NSFC\223266
NATURAL ENVIRONMENT RESEARCH COUNCIL
NE/V002511/1
Depositing User: Symplectic Sheffield
Date Deposited: 18 Jul 2023 11:54
Last Modified: 04 Oct 2024 13:30
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/OJSP.2023.3298251
Open Archives Initiative ID (OAI ID):

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