Application of Improved Grey GM (1, 1) Model in Power Prediction of Wind Farm

In this paper, the grey model is used to study the output power prediction of wind farms. Using logarithmic transformation and exact exponential fitting method, the output power prediction models of wind farms are established respectively. According to the output power data of a wind farm in one day, we fit and give the power prediction value. The accuracy of the two models and the traditional models is tested respectively. The results show that the prediction results of the precise exponential fitting method are better than those of the traditional GM (1,1) model and logarithmic transformation method. Therefore, the precise exponential fitting method has more extensive application value.