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Prediction of the solar radiation evolution using computational intelligence techniques and cloudiness indices

dc.contributor.authorRuano, Antonio
dc.contributor.authorCrispim, E. M.
dc.contributor.authorFerreira, P. M.
dc.date.accessioned2013-02-05T15:00:04Z
dc.date.available2013-02-05T15:00:04Z
dc.date.issued2008
dc.date.updated2013-01-26T18:02:24Z
dc.description.abstractIn this paper, Artificial Neural Networks are applied for multi-step long term solar radiation prediction. The input-output structure of the neural network models is selected using evolutionary computation methods. The networks are trained as onestep- ahead predictors and iterated over time to obtain multi-step longer term predictions. Auto-regressive and auto-regressive with exogenous inputs models are compared, considering cloudiness indices as inputs in the latter case. These indices are obtained through pixel classification of ground-to-sky images, captured by a CCD camera.por
dc.identifier.citationRuano, Antonio Eduardo de Barros; Crispim, E. M.; Ferreira, P. M. Prediction of the solar radiation evolution using computational intelligence techniques and cloudiness indices, International Journal of Innovative Computing Information and Control, 4, 5, 1121-1133, 2008.por
dc.identifier.issn1349-4198
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2224
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectCloudiness indicespor
dc.subjectSolar radiationpor
dc.subjectNeural networkspor
dc.subjectMulti-objective genetic algorithmspor
dc.titlePrediction of the solar radiation evolution using computational intelligence techniques and cloudiness indicespor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1133por
oaire.citation.issue5por
oaire.citation.startPage1121por
oaire.citation.titleInternational Journal of Innovative Computing Information and Controlpor
oaire.citation.volume4por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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