A data-driven strategy for industrial cracking furnace system scheduling under uncertainty

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	2024-02-07T22:43:51Z
dc.date.available	2024-02-07T22:43:51Z
dc.date.issued	2023-08-05
dc.identifier.citation	CHEMICAL ENGINEERING SCIENCE, 2023, 277
dc.identifier.issn	0009-2509
dc.identifier.issn	1873-4405
dc.identifier.uri	http://hdl.handle.net/10453/175451
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	CHEMICAL ENGINEERING SCIENCE
dc.relation.isbasedon	10.1016/j.ces.2023.118865
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0904 Chemical Engineering, 0913 Mechanical Engineering, 0914 Resources Engineering and Extractive Metallurgy
dc.subject.classification	Chemical Engineering
dc.subject.classification	4004 Chemical engineering
dc.title	A data-driven strategy for industrial cracking furnace system scheduling under uncertainty
dc.type	Journal Article
utslib.citation.volume	277
utslib.for	0904 Chemical Engineering
utslib.for	0913 Mechanical Engineering
utslib.for	0914 Resources Engineering and Extractive Metallurgy
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	2024-02-07T22:43:50Z
pubs.publication-status	Published
pubs.volume	277

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