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