Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorAltran, Alessandra Bonato-
Autor(es): dc.creatorMinussi, Carlos Roberto-
Autor(es): dc.creatorMartins Lopes, Mara Lucia-
Autor(es): dc.creatorChavarette, Fábio Roberto-
Autor(es): dc.creatorPeruzzi, Nelson Jose-
Data de aceite: dc.date.accessioned2021-03-10T16:50:33Z-
Data de disponibilização: dc.date.available2021-03-10T16:50:33Z-
Data de envio: dc.date.issued2014-05-20-
Data de envio: dc.date.issued2014-05-20-
Data de envio: dc.date.issued2011-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.4028/www.scientific.net/AMR.217-218.39-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/9787-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/9787-
Descrição: dc.descriptionIn this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function and the Backpropagation algorithm, as an algorithm to train the network. This methodology allows you to make the prediction at various points in power system, considering different types of consumers (residential, commercial, industrial) of the electric grid, is applied to the problem short-term electric load forecasting (24 hours ahead). We use a database (Centralised Dataset - CDS) provided by the Electricity Commission de New Zealand to this work.-
Formato: dc.format39-44-
Idioma: dc.languageen-
Publicador: dc.publisherTrans Tech Publications Ltd-
Relação: dc.relationHigh Performance Structures and Materials Engineering, Pts 1 and 2-
Relação: dc.relation0,121-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectMultinodal Forecast of Electric Load-
Palavras-chave: dc.subjectArtificial Neural Networks-
Palavras-chave: dc.subjectBackpropagation Algorithm-
Palavras-chave: dc.subjectRadial Basis Function-
Título: dc.titleMultinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function-
Aparece nas coleções:Repositório Institucional - Unesp

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