DocumentCode
2702593
Title
Monthly stream flow forecasting using an neural fuzzy network model
Author
Valença, Mêuser ; Ludermir, Teresa
Author_Institution
Univ. Salgado de Oliveira, Recide, Brazil
fYear
2000
fDate
2000
Firstpage
117
Lastpage
119
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. Proceedings. Sixth Brazilian Symposium on
Conference_Location
Rio de Janeiro, RJ
ISSN
1522-4899
Print_ISBN
0-7695-0856-1
Type
conf
DOI
10.1109/SBRN.2000.889724
Filename
889724
Link To Document