摘要
介绍了支持向量机(SVM)方法及其在短期电力负荷预测中的应用。结合地区实际,在算法中考虑相应的气象因素,该算法具有收敛速度快、全局最优等优点。预测算例表明,考虑气象因素的SVM方法可提高预测精度。
The Support Vector Machine （SVM） method and its application to short-term load forecast are presented. According to the actual regional condition, the weather factor is incorporated in the relevant algorithm which is then endowed with the advantages of quick convergence and global optimization. Example calculation shows that the SVM method with consideration of the weather factor has high accuracy.
出处
《华东电力》
北大核心
2007年第11期86-89,共4页
East China Electric Power
关键词
电力系统
支持向量机
气象因素
短期负荷预测
核函数
power system
Support Vector Machine （SVM）
weather factor
short-term load forecast
kernel function
