Actas de congresos
A fast electric load forecasting using neural networks
Fecha
2000-12-01Registro en:
Midwest Symposium on Circuits and Systems, v. 2, p. 646-649.
10.1109/MWSCAS.2000.952840
WOS:000172099300150
2-s2.0-0034463498
5434299135943285
Autor
Universidade Estadual Paulista (Unesp)
Institución
Resumen
The 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.