Data-driven modeling and monitoring of fuel cell performance

Sun, K., Esnaola, J. orcid.org/0000-0001-5597-1718, Okorie, O. et al. (3 more authors) (2021) Data-driven modeling and monitoring of fuel cell performance. International Journal of Hydrogen Energy, 46 (66). pp. 33206-33217. ISSN 0360-3199

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors. Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Fuel cell; performance evaluation; mathematical framework; Gaussian process; sensing strategy
Dates:
  • Accepted: 30 May 2021
  • Published (online): 19 August 2021
  • Published: 24 September 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Jun 2021 08:45
Last Modified: 10 Mar 2022 14:23
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ijhydene.2021.05.210

Export

Statistics