Lopes, Mara Lúcia M. [UNESP]Minussi, Carlos R. [UNESP]Lotufo, Anna Diva P. [UNESP]2014-05-272014-05-272000-12-01Midwest Symposium on Circuits and Systems, v. 2, p. 646-649.http://hdl.handle.net/11449/66342The objective of this work is the development of a methodology for electric load forecasting based on a neural network. Here, it is used Backpropagation algorithm with an adaptive process based on fuzzy logic. This methodology results in fast training, when compared to the conventional formulation of Backpropagation algorithm. Results are presented using data from a Brazilian Electric Company and the performance is very good for the proposal objective.646-649engBackpropagationFuzzy controlFuzzy setsGradient methodsKalman filteringNeural networksRegression analysisBinary systemsLinear regressionElectric load forecastingTrabalho apresentado em evento10.1109/MWSCAS.2000.952840WOS:000172099300150Acesso aberto2-s2.0-00344634985434299135943285