System identification-informed transparent and explainable machine learning with application to power consumption forecasting

Wei, H.-L. orcid.org/0000-0002-4704-7346 (2023) System identification-informed transparent and explainable machine learning with application to power consumption forecasting. In: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Proceedings. 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 19-21 Jul 2023, Tenerife, Canary Island, Spain. Institute of Electrical and Electronics Engineers (IEEE) ISBN 9798350322989

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Item Type: Proceedings Paper
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© 2023 The Authors. Except as otherwise noted, this author-accepted version of a paper published in 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Proceedings is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: system identification; machine learning; transparent model; explainable model; power consumption
Dates:
  • Published: 22 September 2023
  • Published (online): 22 September 2023
  • Accepted: 6 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
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/H00453X/1
Depositing User: Symplectic Sheffield
Date Deposited: 04 Jul 2023 15:59
Last Modified: 25 Sep 2023 13:52
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/ICECCME57830.2023.10252535
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