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Renewable power forecast to scheduling of thermal units

dc.contributor.authorFonte, Pedro M
dc.contributor.authorSantos, Bruno
dc.contributor.authorMonteiro, Cláudio
dc.contributor.authorCatalão, João Paulo da Silva
dc.contributor.authorBarbosa, Fernando Maciel
dc.date.accessioned2015-08-20T15:19:31Z
dc.date.available2015-08-20T15:19:31Z
dc.date.issued2014
dc.description.abstractIn this work is discussed the importance of the renewable production forecast in an island environment. A probabilistic forecast based on kernel density estimators is proposed. The aggregation of these forecasts, allows the determination of thermal generation amount needed to schedule and operating a power grid of an island with high penetration of renewable generation. A case study based on electric system of S. Miguel Island is presented. The results show that the forecast techniques are an imperative tool help the grid management.en
dc.identifier.citationFONTE, Pedro Miguel Neves; [et al] – Renewable power forecast to scheduling of thermal units. In IFIP Advances in Information and Communication Technology. Berlin : Springer-Verlag Berlin, 2014. ISSN: 1868-4238. Vol. 423, p. 361-368.en
dc.identifier.doi10.1007/978-3-642-54734-8_40
dc.identifier.isbn978-3-642-54733-1
dc.identifier.isbn978-3-642-54734-8
dc.identifier.issn1868-4238
dc.identifier.urihttp://hdl.handle.net/10400.21/4891
dc.language.isoengen
dc.peerreviewedyesen
dc.publisherSpringer-Verlag Berlinen
dc.subjectProbabilistic renewable power forecasten
dc.subjectKernel density estimatoren
dc.subjectPower schedulingen
dc.titleRenewable power forecast to scheduling of thermal unitsen
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBerlinen
oaire.citation.endPage368por
oaire.citation.startPage361por
oaire.citation.titleIFIP Advances in Information and Communication Technologyen
oaire.citation.volume423por
person.familyNameFonte
person.givenNamePedro M
person.identifier.ciencia-id4D17-2B29-38BB
person.identifier.orcid0000-0001-5858-203X
person.identifier.scopus-author-id8507639300
rcaap.rightsclosedAccessen
rcaap.typeconferenceObjecten
relation.isAuthorOfPublication7da87fed-6d70-4191-b26a-d0fd64965d29
relation.isAuthorOfPublication.latestForDiscovery7da87fed-6d70-4191-b26a-d0fd64965d29

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