摘要
提出一种基于支持向量机的电力系统短期负荷预测方法,将SVM引入短期负荷预测,通过不断输入新的负荷数据来更新回归函数,以获得更快的计算速度和较好的预测精度,利用佛山地区的历史负荷作为训练数据,结果证明了该方法能在一定程度上提高电力负荷的预测精度。
The paper proposed a short-term load forecast method of power system based on SVM algorithm.Considering the social environment and load characteristic in Foshan area,the paper adopted SVM model forecasting the 96 load value of Foshan area,the result of which showed that the algorithm can improve the accuracy of power load forecasting.
出处
《机电工程技术》
2012年第12期18-20,48,共4页
Mechanical & Electrical Engineering Technology
