Abstract:In this work the wind speed is predicted for wind power application estimation. Data obtained from an anemometric station were used for the application of two artificial intelligence techniques, the artificial neural network and the wavelet neural network. The autocorrelation function was used to determine the amount of time-delayed inputs for the time series prediction, which allowed the use of data in order to increase the extrapolation capacity of the networks. The comparison of the predictions obtained fro… Show more
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