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ALBidS: A Decision Support System for Strategic Bidding in Electricity Markets

2019Conference object Open access
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dc.contributor.authorPinto, Tiago
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-03T16:58:42Z
dc.date.available2021-02-03T16:58:42Z
dc.date.issued2019
dc.description.abstractThis work demonstrates a system that provides decision support to players in electricity market negotiations. This contribution is provided by ALBidS (Adaptive Learning strategic Bidding System), a decision support system that includes a large number of distinct market negotiation strategies, and learns which should be used in each context in order to provide the best expected response. The learning process on the best negotiation strategies to use at each moment is developed by means of several integrated reinforcement learning algorithms. ALBidS is integrated with MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), which enables the simulation of realistic market scenarios using real data.pt_PT
dc.description.sponsorshipThis work has been developed under the MAS-SOCIETY project - PTDC/EEI-EEE/28954/2017 and has received funding from UID/EEA/00760/2019, funded by FEDER Funds through COMPETE and by National Funds through FCT.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/16864
dc.language.isoengpt_PT
dc.publisherInternational Foundation for Autonomous Agentsand Multiagent Systemspt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttp://www.ifaamas.org/Proceedings/aamas2019/forms/contents.htmpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectMulti-agent simulationpt_PT
dc.subjectElectricity marketspt_PT
dc.subjectDecision support systemspt_PT
dc.subjectMachine learningpt_PT
dc.titleALBidS: A Decision Support System for Strategic Bidding in Electricity Marketspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.citation.conferencePlaceMontréal, Canadapt_PT
oaire.citation.endPage2377pt_PT
oaire.citation.startPage2375pt_PT
oaire.citation.title18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNamePinto
person.familyNameVale
person.givenNameTiago
person.givenNameZita
person.identifierR-000-T7J
person.identifier632184
person.identifier.ciencia-id2414-9B03-C4BB
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-8248-080X
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridT-2245-2018
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication8d58ddc0-1023-47c0-a005-129d412ce98d
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
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relation.isProjectOfPublication9b771c00-8c2c-4226-b06d-e33ef11f0d32
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