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ANN based day-ahead spinning reserve forecast for electricity market simulation

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dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.contributor.authorSoares, João
dc.contributor.authorKhodr, H. M.
dc.date.accessioned2013-04-30T14:30:06Z
dc.date.available2013-04-30T14:30:06Z
dc.date.issued2009
dc.date.updated2013-04-15T14:58:19Z
dc.description.abstractElectricity market players operating in a liberalized environment require adequate decision support tools, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. This paper deals with short-term predication of day-ahead spinning reserve (SR) requirement that helps the ISO to make effective and timely decisions. Based on these forecasted information, market participants can use strategic bidding for day-ahead SR market. The proposed concepts and methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A case study based on California ISO (CAISO) data is included; the forecasted results are presented and compared with CAISO published forecast.por
dc.identifier.doi10.1109/ISAP.2009.5352930
dc.identifier.isbn978-1-4244-5097-8
dc.identifier.urihttp://hdl.handle.net/10400.22/1475
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.ispartofseriesIntelligent System Applications to Power Systems
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5352930por
dc.subjectArtificial neural networks (ANN)por
dc.subjectAncillary servicespor
dc.subjectMulti-agent systemspor
dc.subjectSpinning reservepor
dc.subjectElectricity marketspor
dc.subjectPower systemspor
dc.subjectSimulationpor
dc.titleANN based day-ahead spinning reserve forecast for electricity market simulationpor
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.familyNameFaria
person.familyNameVale
person.familyNameSoares
person.givenNamePedro
person.givenNameZita
person.givenNameJoão
person.identifier632184
person.identifier1043580
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-4172-4502
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id35436109600
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublication.latestForDiscovery35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6

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