Optimal scheduling of ethylene plants under uncertainty: An unsupervised learning-based data-driven strategy

Zhang, C

Wang, Z

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Field	Value	Language
dc.contributor.author	Zhang, C https://orcid.org/0000-0002-2352-0485
dc.contributor.author	Wang, Z
dc.date.accessioned	2024-05-09T08:35:37Z
dc.date.available	2024-05-09T08:35:37Z
dc.date.issued	2023-09
dc.identifier.citation	COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 183
dc.identifier.issn	0360-8352
dc.identifier.issn	1879-0550
dc.identifier.uri	http://hdl.handle.net/10453/178776
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	COMPUTERS & INDUSTRIAL ENGINEERING
dc.relation.isbasedon	10.1016/j.cie.2023.109470
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.subject.classification	49 Mathematical sciences
dc.title	Optimal scheduling of ethylene plants under uncertainty: An unsupervised learning-based data-driven strategy
dc.type	Journal Article
utslib.citation.volume	183
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2024-05-09T08:35:35Z
pubs.publication-status	Published
pubs.volume	183

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