Distributional reinforcement learning-based energy arbitrage strategies in imbalance settlement mechanism

dc.contributor.author	Karimi Madahi, Seyed Soroush
dc.contributor.author	Claessens, Bert
dc.contributor.author	Develder, Chris
dc.contributor.imecauthor	Claessens, Bert
dc.contributor.imecauthor	Develder, Chris
dc.contributor.imecauthor	Karimi Madahi, Seyed Soroush
dc.contributor.orcidimec	Develder, Chris::0000-0003-2707-4176
dc.contributor.orcidimec	Karimi Madahi, Seyed Soroush::0000-0001-8072-4532
dc.date.accessioned	2025-06-26T08:19:07Z
dc.date.available	2024-11-21T16:53:54Z
dc.date.available	2024-11-22T11:00:03Z
dc.date.available	2025-06-26T08:19:07Z
dc.date.embargo	9999-12-31
dc.date.issued	2024
dc.description.wosFundingText	This research has received funding from the Horizon 2020 Project RENergetic (grant no. 957845) and the Energy Transition Fund (FOD Economy) via the FlexMyHeat project.
dc.identifier.doi	10.1016/j.est.2024.114377
dc.identifier.issn	2352-152X
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/44816
dc.publisher	ELSEVIER
dc.source.beginpage	Art. 114377
dc.source.endpage	N/A
dc.source.issue	15 December
dc.source.journal	JOURNAL OF ENERGY STORAGE
dc.source.numberofpages	14
dc.source.volume	104
dc.subject.keywords	SERVICES
dc.title	Distributional reinforcement learning-based energy arbitrage strategies in imbalance settlement mechanism
dc.type	Journal article
dspace.entity.type	Publication
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