It is difficult to merge wind power into grid, owing to wind power's uncertainty and prediction inaccuracy. Wind speed is an important factor affecting wind power, so the accuracy of wind speed prediction has a major impact on the wind power prediction. The support vector machine (SVM) has been successfully applied in the short-term wind speed forecasting field, but its learning and generalization ability depend on proper setting of its parameters. In order to improve forecasting accuracy, aiming at the disadvantages like man-made blindness in the parameters selection of SVM, in this paper, th...
