Wind is a physical phenomenon with uncertainties in several temporal scales, addition, measured wind time series have noise superimposed on them. These are the basis for forecasting methods. This paper studied application of wavelet transform to three methods, namely, stochastic, neural network, and fuzzy, six families. speed were first filtered eliminate high-frequency component using filters ...