A support vector machine based method for parameter estimation of an electric arc furnace model

Marulanda-Durango, J., Escobar-Mejía, A., Alzate-Gómez, A. et al. (1 more author) (2021) A support vector machine based method for parameter estimation of an electric arc furnace model. Electric Power Systems Research, 196. 107228. ISSN 0378-7796

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Elsevier B.V. This is an author produced version of a paper subsequently published in Electric Power Systems Research. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Parameter estimation; Ac electric arc furnaces; Power quality problems; Support vector machine; Multivariate regression
Dates:
  • Accepted: 5 April 2021
  • Published (online): 19 April 2021
  • Published: July 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 19 Apr 2021 16:44
Last Modified: 19 Apr 2022 00:38
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.epsr.2021.107228

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