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dc.contributor.advisorSantos, José Vicente Canto dos
dc.contributor.authorFigueiredo, Rodrigo Marques dept_BR
dc.date.accessioned2015-03-05T14:01:20Z
dc.date.accessioned2022-09-22T19:05:30Z
dc.date.available2015-03-05T14:01:20Z
dc.date.available2022-09-22T19:05:30Z
dc.date.issued2009-03-06
dc.identifier.urihttps://hdl.handle.net/20.500.12032/56811
dc.description.abstractThis work is inserted in the forecasting computational modeling for electrical power systems area. The modern society has a great dependency of electrical power, since the current technology uses this type of energy to many ends. This fact justifies the studies in that area to bettering or make easy to work with this type systems. Currently there are many studies in this áreas that broaches all the fields of electrical power. An important part of the process of production, transmission and distribution of electrical energy is the planning, that between others factors is strongly based in a load forecasting. This load forecasting should be reliable, and to have a high accuracy, because since that forecast important decisions are maked in technical and economical ambit of electrical system enterprises. This work presents a computational system for electrical load forecasting, through the using of a new neural model for forecasting approach. With this new model is tried integrate the electrical network informatien
dc.description.sponsorshipNenhumapt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio do Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectredes neurais - computaçãopt_BR
dc.titleUm sistema computacional para previsão de carga em sistemas de energia elétrica baseado em redes neurais artificiaispt_BR
dc.typeDissertaçãopt_BR


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