中国电机工程学报2011，Vol.31Issue(16)：63-66,4.
采用支持向量机和模拟退火算法的中长期负荷预测方法
Mid-long Term Load Forecasting Based on Simulated Annealing and SVM Algorithm
摘要
Abstract
Accurate mid-long term load forecasting can improve the economic and social benefits of power system. The model of support vector machine (SVM) was analyzed, and a new mid-long term load forecasting method based SVM method was proposed in order to overcome the shortcoming that some parameters have to be determined by experience. The simulated annealing algorithm was applied to optimize the parameters in the method. An example proved that the proposed method can efficiently select the parameters of the SVM method. It can reduce the support vector machine modeling training error and testing error. Compared to the method using the default parameters SVM method, the accuracy of load forecasting is effectively improved.关键词
电力系统/中长期负荷预测/模拟退火/支持向量机分类
信息技术与安全科学引用本文复制引用
李瑾,刘金朋,王建军..采用支持向量机和模拟退火算法的中长期负荷预测方法[J].中国电机工程学报,2011,31(16):63-66,4.基金项目
中电联预研基金项目(92103804). （92103804）
