Kernel Covering Algorithm Applying in Forecast Short-time Load of Electrical Power System

摘要：

Kernel covering algorithm combined the kernel function algorithm of SVM and the covering algorithm of constructive machine learning method, was applied in the forecast shot-time load.Constituting the kernel function based SVM, selecting the sample according to load day property,history temperature data and history load data. The algorithm achieved separating the sample set automatically and forecasting short-time load. Example proves the high efficiency, precision, and robustness of the new algorithm.

关键词： SVM Hyperplane Machine learning Kernel covering algorithm Forecast load

作者: SUN Yumei XIAO Zhigang

作者单位: College of Mechanical and Electrical Engineering,Agriculture University of Hebei,Baoding P.R.China 071001

会议类型: 国际会议

会议名称: 2007 International Conference on Agriculture Engineering(2007年农业工程国际会议)

会议地点: 河北保定

会议语种:英文

页码: 361-365

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）