A Multi-agent Reinforcement Learning based Data-driven Method for Home Energy Management

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20259

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DC Field	Value	Language
dc.contributor.author	Xu, Xu	-
dc.contributor.author	Jia, Youwei	-
dc.contributor.author	Xu, Yan	-
dc.contributor.author	Xu, Zhao	-
dc.contributor.author	Chai, Songjian	-
dc.contributor.author	Lai, Chun Sing	-
dc.date.accessioned	2020-02-12T10:33:54Z	-
dc.date.available	2020	-
dc.date.available	2020-02-12T10:33:54Z	-
dc.date.issued	2020	-
dc.identifier.citation	IEEE Transactions on Smart Grid, 2020, pp. 1 - 1	en_US
dc.identifier.issn	1949-3053	-
dc.identifier.issn	http://dx.doi.org/10.1109/tsg.2020.2971427	-
dc.identifier.issn	1949-3061	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/20259	-
dc.format.extent	1 - 1	-
dc.language.iso	en	en_US
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)	en_US
dc.subject	Reinforcement learning	en_US
dc.subject	data-driven method	en_US
dc.subject	home energy management	en_US
dc.subject	finite Markov decision process	en_US
dc.subject	neural network	en_US
dc.title	A Multi-agent Reinforcement Learning based Data-driven Method for Home Energy Management	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.1109/tsg.2020.2971427	-
dc.relation.isPartOf	IEEE Transactions on Smart Grid	-
pubs.publication-status	Published	-
dc.identifier.eissn	1949-3061	-
Appears in Collections:	Dept of Electronic and Electrical Engineering Research Papers

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