Forecast of Wind speed and power of wind generator based on pattern recognition

Forecast of wind speed is very important for making out dispatch scheme of power system and operation in higher reliability, according to the forming mechanism of wind, its influencing factors and its inherent variation rule, one of pattern recognition called as adaptive neuron-fuzzy inference system, abbreviated as ANFIS is used in wind speed forecast. The hybrid algorithm is used to train the parameter of fuzzy interference system, with the train samples, the model is constructed, and anticipated wind speed is easily gotten. The Maui island of Hawaii is used as our case study; the forecast result shows that applying ANFIS to the practice would be valid.