A Wind Power Prediction Method Based on RBF Neural Network
With the interconnection of the large-scale wind power, wind power forecasting is particularly important to the dispatcher of power grid. Based on the historical data, this paper proposes a prediction method based on RBF (radial basis function) neural network. This method is based on the model taking the influence of the system input (wind speed, wind direction, historical power output data) on the predicting error into consideration to get the optimal input values. Examples with field data obtained from Northwest of China show the effectiveness and higher precisionof the proposed method.
Fang Shao, Fenjie Long, Jie Liang, Haihong Chen and Meini Yuan
Y. R. Wang, "A Wind Power Prediction Method Based on RBF Neural Network", Applied Mechanics and Materials, Vols. 713-715, pp. 1107-1110, 2015