Wind Power Prediction Model Based on the Combined Optimization Algorithm of ARMA Model and BP Neural Networks
Ruichun Wang · East China Electric Power · 2013
In light of the sustainable development of the wind farm marketing,the combined forecast of wind farm power generation is proposed.Two representative prediction models,based on ARMA and on neural networks respectively,were selected;the farm measured data were input to the models and their own prediction results were obtained respectively.Finally,the prediction results of the combined model were compared with those of the two individual models,verifying the feasibility of the combined model to wind farm generation capacity forecast.It is concluded that the combined forecast model can predict more accurately than the individual forecast model.