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Application of computation intelligence techniques for energy load and price forecast in some states of USA

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dc.contributor.authorMourão, João C.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-05T14:27:55Z
dc.date.available2013-02-05T14:27:55Z
dc.date.issued2007
dc.date.updated2013-01-26T18:13:09Z
dc.description.abstractThe purpose of this paper is to forecast the load and price of electricity, 49 hours ahead. To accomplish these goals, computational intelligence techniques were used, specifically artificial neural networks and genetic algorithms. The neural networks employed are RBFs (Radial Basis Functions), fully connected and with just one hidden layer. The genetic algorithm used was MOGA (Multiple Objective Genetic Algorithm), which, as the name indicates, minimizes not a single objective but several. The neural networks are trained for one step ahead, and its output is feedback until 49 hours are calculated. MOGA is used for the input selection and for topology determination. The data used was kindly given by the University of Auburn, USA, and refers to real data from some North-American states.por
dc.identifier.citationMourao, Joao C.; Ruano, Antonio E. Application of Computation Intelligence Techniques for Energy Load and Price Forecast in some States of USA, Trabalho apresentado em 2007 IEEE International Symposium on Intelligent Signal Processing, In Proceedings of the 2007 IEEE International Symposium on Intelligent Signal Processing, Alcala de Henares, Spain, 2007.por
dc.identifier.doihttp://dx.doi.org/10.1109/WISP.2007.4447559
dc.identifier.isbn978-1-4244-0829-0
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2220
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.subjectLoad and price forecastpor
dc.subjectGenetic algorithmspor
dc.subjectNeural networkspor
dc.titleApplication of computation intelligence techniques for energy load and price forecast in some states of USApor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceAlcala de Henares, Spainpor
oaire.citation.endPage686por
oaire.citation.startPage681por
oaire.citation.titleInternational Symposium on Intelligent Signal Processingpor
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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