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STREAMFLOW FORECASTING BY RADIAL BASIS NEURAL NETWORK WITH MATLAB TOOLBOXES

Grant number: 09/13941-2
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): October 01, 2009
Effective date (End): September 30, 2010
Field of knowledge:Engineering - Electrical Engineering
Principal researcher:Anna Diva Plasencia Lotufo
Grantee:Bruno Cesar Vitti
Home Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil

Abstract

Streamflow forecasting is very important for planning and operation of electrical Power systems. Since the arriving of neural networks and the application to forecasting problems, they become very interesting overcoming the traditional statistical methods. Radial basis neural networks are very useful for this kind of application. This work intends to use a radial basis network by the MATLAB toolboxes, a very useful tool, and apply to streamflow forecasting with data from a company of a Brazilian electrical system.

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