Scientific Research Fund of Hunan Provincial Science and Technology Programme [2010FJ3157]
机构署名：
本校为第一且通讯机构
院系归属：
电气工程学院
摘要：
The support vector machine (SVM) has been successfully applied in the short-term load forecasting area, but its learning and generalization ability depends on a 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, the chaos theory was applied to the PSO (particles swarm optimization) algorithm in order to cope with the problems such as low search speed and local optimization. Finally, we used it to optimize the support vector machines of short-term load forecasting mode...
