Social welfare evaluation during demand response programs execution considering machine learning-based load profile clustering

Moazzen, F

Alikhani, M Aghaei, J Hossain, MJ

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Field	Value	Language
dc.contributor.author	Moazzen, F https://orcid.org/0000-0002-1834-662X
dc.contributor.author	Alikhani, M
dc.contributor.author	Aghaei, J
dc.contributor.author	Hossain, MJ
dc.date.accessioned	2024-01-13T13:50:20Z
dc.date.available	2024-01-13T13:50:20Z
dc.date.issued	2024-03
dc.identifier.citation	Applied Energy, 2024, 357, pp. 122518-122518
dc.identifier.issn	0306-2619
dc.identifier.uri	http://hdl.handle.net/10453/174399
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Applied Energy
dc.relation.isbasedon	10.1016/j.apenergy.2023.122518
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	09 Engineering, 14 Economics
dc.subject.classification	Energy
dc.subject.classification	33 Built environment and design
dc.subject.classification	38 Economics
dc.subject.classification	40 Engineering
dc.title	Social welfare evaluation during demand response programs execution considering machine learning-based load profile clustering
dc.type	Journal Article
utslib.citation.volume	357
utslib.for	09 Engineering
utslib.for	14 Economics
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2024-01-13T13:49:00Z
pubs.publication-status	Accepted
pubs.volume	357

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