Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process

Yan, J, Li, K orcid.org/0000-0001-6657-0522, Bai, E-W et al. (2 more authors) (2016) Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process. IEEE Transactions on Sustainable Energy, 7 (1). pp. 87-95. ISSN 1949-3029

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Copyright, Publisher and Additional Information: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Error analysis, forecasting, Gaussian process (GP), wind power
Dates:
  • Published: January 2016
  • Accepted: 19 August 2015
  • Published (online): 23 September 2015
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: 25 Feb 2019 15:22
Last Modified: 25 Feb 2019 17:43
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/TSTE.2015.2472963

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