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Solar radiation prediction using RBF neural networks and cloudiness indices

2006Conference object Restricted access
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dc.contributor.authorCrispim, E. M.
dc.contributor.authorFerreira, P. M.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-06T14:47:59Z
dc.date.available2013-02-06T14:47:59Z
dc.date.issued2006
dc.date.updated2013-01-26T19:11:23Z
dc.description.abstractIn this paper, Artificial Neural Networks are applied to multi-step long term solar radiation prediction. The networks are trained as one-step-ahead predictors and iterated over time to obtain multi-step longer term predictions. Auto-regressive and Auto-regressive with exogenous inputs solar radiation models are compared, considering cloudiness indices as inputs in the latter case. These indices are obtained through pixel classification of ground-to-sky images. The input-output structure of the neural network models is selected using evolutionary computation methods.por
dc.identifier.citationCrispim, E. M.; Ferreira, P. M.; Ruano, A. E. Solar radiation prediction using RBF Neural Networks and cloudiness indices, Trabalho apresentado em The 2006 IEEE International Joint Conference on Neural Network Proceedings, In Proceedings of the 2006 IEEE International Joint Conference on Neural Network Proceedings, Vancouver, BC, Canada, 2006.por
dc.identifier.isbn0-7803-9490-9
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2238
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleSolar radiation prediction using RBF neural networks and cloudiness indicespor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVancouver, BC, Canadapor
oaire.citation.endPage2618por
oaire.citation.startPage2611por
oaire.citation.titleInternational Joint Conference on Neural Network Proceedingspor
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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