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Decision Support System for Opponents Selection in Electricity Markets Bilateral Negotiations

2019Conference object Open access
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dc.contributor.authorPinto, Tiago
dc.contributor.authorSilva, Francisco
dc.contributor.authorVale, Zita
dc.date.accessioned2021-02-03T16:54:15Z
dc.date.available2021-02-03T16:54:15Z
dc.date.issued2019
dc.description.abstractThis paper presents a new multi-agent decision support system with the purpose of aiding bilateral contract negotiators in the pre-negotiation phase, through the analysis of their possible opponents. The application area of this system is the electricity market, in which players trade a certain volume of energy at a specified price. Consequently, the main output of this system is the recommendation of the best opponent(s) to trade with and the target energy volume to trade with each of the opponents. These recommendations are achieved through the analysis of the possible opponents’ past behavior, namely by learning on their past actions. The result is the forecasting of the expected prices against each opponent depending on the volume to trade. The expected prices are then used by a game-theory based model, to reach the final decision on the best opponents to negotiate with and the ideal target volume to be negotiated with each of thempt_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 FCTpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/16863
dc.language.isoengpt_PT
dc.publisherInternational Foundation for Autonomous Agents and Multiagent Systemspt_PT
dc.relationMulti-Agent Systems SemantiC Interoperability for simulation and dEcision supporT in complex energY systems
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.subjectDecision support systemspt_PT
dc.subjectBilateral negotiationspt_PT
dc.subjectMachine learningpt_PT
dc.subjectPower and Energy Systemspt_PT
dc.titleDecision Support System for Opponents Selection in Electricity Markets Bilateral Negotiationspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleMulti-Agent Systems SemantiC Interoperability for simulation and dEcision supporT in complex energY systems
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28954%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00760%2F2019/PT
oaire.citation.conferencePlaceMontréal, Canadapt_PT
oaire.citation.endPage2386pt_PT
oaire.citation.startPage2384pt_PT
oaire.citation.title18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019)pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isProjectOfPublicationa620525e-5a41-410f-bd99-c7e9546e9037
relation.isProjectOfPublication9b771c00-8c2c-4226-b06d-e33ef11f0d32
relation.isProjectOfPublication.latestForDiscovery9b771c00-8c2c-4226-b06d-e33ef11f0d32

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