Data-driven adaptive robust optimization for energy systems in ethylene plant under demand uncertainty

Shen, F., Zhao, L., Wang, M. orcid.org/0000-0001-9752-270X et al. (2 more authors) (2022) Data-driven adaptive robust optimization for energy systems in ethylene plant under demand uncertainty. Applied Energy, 307. 118148. ISSN 0306-2619

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Elsevier Ltd. This is an author produced version of a paper subsequently published in Applied Energy. 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: Energy systems; Industrial big data; Machine learning; Uncertainty; Adaptive robust optimization
Dates:
  • Accepted: 29 October 2021
  • Published (online): 15 November 2021
  • Published: 1 February 2022
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: 25 Nov 2021 16:52
Last Modified: 15 Nov 2022 01:13
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.apenergy.2021.118148

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