Wind speed forecasting based on data mining in wind farm

Wind speed forecasting plays a significant role in the operation of wind power plants and power systems. An accurate forecasting on wind speed can effectively relieve or avoid the negative impact of wind power plants on power systems and enhance the competition of wind power plants in electric power market. Based on data mining, a method of wind speed forecasting is presented in this paper. By mining historical data as the learning stylebook using the fuzzy neural network (FNN), we can forecast the wind speed. The simulation results show that this method can improve the accuracy of wind speed forecasting effectively.