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MASCEM - an electricity market simulator providing coalition support for virtual power players

dc.contributor.authorOliveira, Pedro
dc.contributor.authorPinto, Tiago
dc.contributor.authorMorais, H.
dc.contributor.authorVale, Zita
dc.contributor.authorPraça, Isabel
dc.date.accessioned2013-04-29T11:41:48Z
dc.date.available2013-04-29T11:41:48Z
dc.date.issued2009
dc.date.updated2013-04-15T14:48:26Z
dc.description.abstractThis paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimization techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper details some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study based on real data.por
dc.identifier.doi10.1111/all.13959
dc.identifier.isbn978-1-4244-5097-8
dc.identifier.urihttp://hdl.handle.net/10400.22/1463
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5352933por
dc.subjectDecision-makingpor
dc.subjectDistributed generationpor
dc.subjectElectricity marketspor
dc.subjectIntelligent agents coalitionspor
dc.subjectVirtual power producerspor
dc.subjectVirtual power playerspor
dc.titleMASCEM - an electricity market simulator providing coalition support for virtual power playerspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCuritiba, Brazil, 2009por
oaire.citation.title15th International Conference on Intelligent System Applications to Power Systems (ISAP)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.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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