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Wind farms model aggregation using probabilistic clustering

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dc.contributor.authorFernandes, Paula Odete
dc.contributor.authorFerreira, Ângela P.
dc.date.accessioned2014-10-16T13:28:40Z
dc.date.available2014-10-16T13:28:40Z
dc.date.issued2013
dc.description.abstractThe main objective of this research is the identification of homogeneous groups within wind farms of a major operator playing in the energy sector in Portugal, based on two multivariate analyses: Hierarchical Cluster Analysis and Discriminant Analysis, by using two independent variables: annual liquid hours and net production. From the produced outputs there were identified three homogenous groups of wind farms: (1) medium Installed Capacity and Induction Generator based Technology, (2) high Installed Capacity and Synchronous Generator based Technology and (3) medium Installed Capacity and Synchronous Generator based Technology, which includes the wind farms with the higher annual liquid hours. It has been found that the results obtained by cluster analysis are well classified, with a total percentage of correct classification of 97,1%, which can be considered excellent.por
dc.identifier.citationFernandes, Paula O.; Ferreira, Ângela P. (2013). Wind farms model aggregation using probabilistic clustering. In 11th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM). Melville: American Institute of Physics. p. 618-621. ISBN 978-0-7354-1185-2por
dc.identifier.doi10.1063/1.4825567
dc.identifier.isbn978-0-7354-1185-2
dc.identifier.urihttp://hdl.handle.net/10198/10862
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherAIP Publishing LLCpor
dc.subjectWind farmspor
dc.subjectWind turbine generatorspor
dc.subjectCluster analysispor
dc.subjectDiscriminant analysispor
dc.titleWind farms model aggregation using probabilistic clusteringpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceGreecepor
oaire.citation.endPage621por
oaire.citation.startPage618por
oaire.citation.title11th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM)por
oaire.citation.volume1558por
person.familyNameFernandes
person.familyNameFerreira
person.givenNamePaula Odete
person.givenNameÂngela P.
person.identifierN-3804-2013
person.identifier.ciencia-id991D-9D1E-D67D
person.identifier.ciencia-id2211-6787-D936
person.identifier.orcid0000-0001-8714-4901
person.identifier.orcid0000-0002-1912-2556
person.identifier.ridM-8188-2013
person.identifier.scopus-author-id35200741800
person.identifier.scopus-author-id55516840300
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication2269147c-2b53-4d1c-bc1b-f1367d197262
relation.isAuthorOfPublication3fec941d-79fb-4901-918d-a34ffa0195cc
relation.isAuthorOfPublication.latestForDiscovery3fec941d-79fb-4901-918d-a34ffa0195cc

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