An efficient hybridization of Gaussian processes and clustering for electricity price forecasting

Yeardley, A.S. orcid.org/0000-0001-7996-0589, Roberts, D., Milton, R. et al. (1 more author) (2020) An efficient hybridization of Gaussian processes and clustering for electricity price forecasting. In: Pierucci, S., Manenti, F., Bozzano, G.L. and Manca, D., (eds.) Computer Aided Chemical Engineering. 30th European Symposium on Computer Aided Process Engineering, 31 Aug - 02 Sep 2020, Virtual conference. Elsevier , pp. 343-348. ISBN 9780128233771

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Elsevier B.V.
Keywords: Gaussian Process; hierarchical clustering; hybridization; forecasting; electricity prices
Dates:
  • Accepted: 8 January 2020
  • Published (online): 19 October 2020
  • Published: 19 October 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 04 Mar 2021 09:26
Last Modified: 04 Mar 2021 09:26
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/B978-0-12-823377-1.50058-6
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