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Multiagent system for adaptive strategy formulation in electricity markets

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dc.contributor.authorPinto, Tiago
dc.contributor.authorVale, Zita
dc.contributor.authorRodrigues, Fátima
dc.contributor.authorPraça, Isabel
dc.contributor.authorMorais, H.
dc.date.accessioned2013-04-18T11:58:04Z
dc.date.available2013-04-18T11:58:04Z
dc.date.issued2011
dc.date.updated2013-04-12T15:59:12Z
dc.description.abstractElectricity markets are complex environments with very particular characteristics. MASCEM is a market simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. This paper presents a new proposal for the definition of MASCEM players’ strategies to negotiate in the market. The proposed methodology is multiagent based, using reinforcement learning algorithms to provide players with the capabilities to perceive the changes in the environment, while adapting their bids formulation according to their needs, using a set of different techniques that are at their disposal.por
dc.identifier.doi10.1109/IA.2011.5953609
dc.identifier.isbn978-1-61284-059-8
dc.identifier.urihttp://hdl.handle.net/10400.22/1399
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5953609por
dc.subjectAdaptive learningpor
dc.subjectData-mining techniquespor
dc.subjectElectricity marketspor
dc.subjectForecasting methodspor
dc.subjectMultiagent systemspor
dc.titleMultiagent system for adaptive strategy formulation in electricity marketspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceParis, France, 2011por
oaire.citation.titleIEEE Symposium on Intelligent Agent (IA)por
person.familyNamePinto
person.familyNameVale
person.familyNamePraça
person.givenNameTiago
person.givenNameZita
person.givenNameIsabel
person.identifierR-000-T7J
person.identifier632184
person.identifier299522
person.identifier.ciencia-id2414-9B03-C4BB
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-idC710-4218-1BFF
person.identifier.orcid0000-0001-8248-080X
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-2519-9859
person.identifier.ridT-2245-2018
person.identifier.ridA-5824-2012
person.identifier.ridK-8430-2014
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id22734900800
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublicationee4ecacd-c6c6-41e8-bca1-21a60ff05f50
relation.isAuthorOfPublication.latestForDiscovery8d58ddc0-1023-47c0-a005-129d412ce98d

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