A prediction method for wind power is proposed based on genetic algorithm, wavelet and neural network by the feature of the global optimization capacity of the genetic algorithm and the high accuracy of wavelet neural network. The output power data of 58 wind power motors in a wind power field are used as real examples to test the prediction method and the results show that the prediction of GAWNN Model with good robustness and high accuracy and small prediction error. 