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Short-term wind forecasting for energy resources scheduling

dc.contributor.authorRamos, Sérgio
dc.contributor.authorSoares, João
dc.contributor.authorSilva, Marco
dc.contributor.authorVale, Zita
dc.date.accessioned2013-04-22T11:08:37Z
dc.date.available2013-04-22T11:08:37Z
dc.date.issued2012
dc.date.updated2013-04-11T14:04:53Z
dc.description.abstractThis paper proposes a wind power forecasting methodology based on two methods: direct wind power forecasting and wind speed forecasting in the first phase followed by wind power forecasting using turbines characteristics and the aforementioned wind speed forecast. The proposed forecasting methodology aims to support the operation in the scope of the intraday resources scheduling model, namely with a time horizon of 5 minutes. This intraday model supports distribution network operators in the short-term scheduling problem, in the smart grid context. A case study using a real database of 12 months recorded from a Portuguese wind power farm was used. The results show that the straightforward methodology can be applied in the intraday model with high wind speed and wind power accuracy. The wind power forecast direct method shows better performance than wind power forecast using turbine characteristics and wind speed forecast obtained in first phase.por
dc.identifier.urihttp://hdl.handle.net/10400.22/1444
dc.language.isoengpor
dc.publisherEWEApor
dc.relation.publisherversionhttp://proceedings.ewea.org/annual2012/allfiles2/1143_EWEA2012presentation.pdfpor
dc.subjectArtificial neural networkpor
dc.subjectWind power and speed forecastingpor
dc.subjectShort - term forecastingpor
dc.subjectShort - term schedulingpor
dc.titleShort-term wind forecasting for energy resources schedulingpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCopenhagen, Denmark, 2012por
oaire.citation.titleEuropean Wind Energy Association - EWEA 2012por
person.familyNameCarvalho Ramos
person.familyNameSoares
person.familyNameVale
person.givenNameSérgio Filipe
person.givenNameJoão
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-id6D1F-C495-6660
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-1120-5656
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryf01a54a0-e6c0-4cf3-afd8-5a664bbac7b4

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