Adaptive ultra-short-term wind power prediction based on risk assessment

Xue, Y, Yu, C, Li, K orcid.org/0000-0001-6657-0522 et al. (4 more authors) (2016) Adaptive ultra-short-term wind power prediction based on risk assessment. CSEE Journal of Power and Energy Systems, 2 (3). pp. 59-64. ISSN 2096-0042

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 CSEE. This is an open access article under the terms of the Creative Commons Non-Commercial No-Derivatives License (CC-BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/.
Keywords: Error evaluation; offline optimization; online matching; positive error vs negative error; risk index; time series features; wind power prediction
Dates:
  • Published: 30 September 2016
  • Accepted: 15 June 2016
  • Published (online): 8 September 2016
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: 26 Nov 2018 10:12
Last Modified: 13 Aug 2019 11:56
Status: Published
Publisher: CSEE
Identification Number: https://doi.org/10.17775/CSEEJPES.2016.00036

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