João Catalão †
Sílvio Mariano †
Victor Mendes ‡
Luís Ferreira §
† Departamento de Engenharia Electromecânica
UBI– Universidade da Beira Interior
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‡ Departamento de Engenharia Electrotécnica e Automação
ISEL – Instituto Superior de Engenharia de Lisboa
§ Departamento de Engenharia Electrotécnica e de Computadores
IST – Instituto Superior Técnico
]]> Resumo
Neste artigo é apresentada uma ferramenta computacional, baseada em redes neuronais artificiais, para a previsão dos preços da energia eléctrica no apoio à decisão em ambiente competitivo. Apresentam-se os resultados numéricos obtidos para um caso de estudo, e conclui-se sobre o desempenho da ferramenta computacional proposta comparativamente a uma abordagem baseada em séries temporais.
Title: Electricity prices forecasting through artificial neural networks
Abstract
In this paper, a computational tool based on artificial neural networks is presented for electricity prices forecasting to support decision making in a competitive environment. The numerical results obtained for a case study illustrate the behaviour of the computational tool proposed comparatively to a time-series approach.
Keywords: Price forecasting, Neural network, Levenberg-Marquardt algorithm
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