Improved reinforcement learning-based real-time energy scheduling for prosumer with elastic loads in smart grid

Liu, D Cheng, P Cheng, J Liu, J Lu, M Jiang, F

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Field	Value	Language
dc.contributor.author	Liu, D
dc.contributor.author	Cheng, P
dc.contributor.author	Cheng, J
dc.contributor.author	Liu, J
dc.contributor.author	Lu, M
dc.contributor.author	Jiang, F
dc.date.accessioned	2024-05-08T23:46:50Z
dc.date.available	2024-05-08T23:46:50Z
dc.date.issued	2023-11
dc.identifier.citation	Knowledge-Based Systems, 2023, 280, pp. 111004
dc.identifier.issn	0950-7051
dc.identifier.uri	http://hdl.handle.net/10453/178750
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Knowledge-Based Systems
dc.relation.isbasedon	10.1016/j.knosys.2023.111004
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 15 Commerce, Management, Tourism and Services, 17 Psychology and Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.subject.classification	4602 Artificial intelligence
dc.subject.classification	4605 Data management and data science
dc.subject.classification	4611 Machine learning
dc.title	Improved reinforcement learning-based real-time energy scheduling for prosumer with elastic loads in smart grid
dc.type	Journal Article
utslib.citation.volume	280
utslib.for	08 Information and Computing Sciences
utslib.for	15 Commerce, Management, Tourism and Services
utslib.for	17 Psychology and Cognitive Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2024-05-08T23:46:49Z
pubs.publication-status	Published
pubs.volume	280

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