Title :
Monthly stream flow forecasting using an neural fuzzy network model
Author :
Valença, Mêuser ; Ludermir, Teresa
Author_Institution :
Univ. Salgado de Oliveira, Recide, Brazil
Abstract :
This paper presents an fuzzy neural network model for inflow forecast for the Sobradinho hydroelectric power plant, part of the Chesf (Companhia Hidreletrica do Sao Francisco-Brazil) system. The model was implemented to forecast monthly average inflow on an one-step-ahead basis. The fuzzy neural network model is shown to provide better representation of the monthly average water inflow forecasting, than the models based on Box-Jenkins method, currently in use on the Brazilian electrical sector
Keywords :
forecasting theory; fuzzy neural nets; hydroelectric power stations; rivers; Brazil; Sobradinho plant; fuzzy neural network; hydroelectric power station; stream flow forecasting; water inflow; Calibration; Fuzzy neural networks; Input variables; Load forecasting; Mathematical model; Power generation; Power system modeling; Predictive models; Rivers; Water resources;
Conference_Titel :
Neural Networks, 2000. Proceedings. Sixth Brazilian Symposium on
Conference_Location :
Rio de Janeiro, RJ
Print_ISBN :
0-7695-0856-1
DOI :
10.1109/SBRN.2000.889724
