Short Term Load Forecasting System Based on Support Vector Kernel Methods
نویسندگان
چکیده
منابع مشابه
Short-term load forecasting using a kernel-based support vector regression combination model
Kernel-based methods, such as support vector regression (SVR), have demonstrated satisfactory performance in short-term load forecasting (STLF) application. However, the good performance of kernel-based method depends on the selection of an appropriate kernel function that fits the learning target, unsuitable kernel function or hyper-parameters setting may lead to significantly poor performance...
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ژورنال
عنوان ژورنال: International Journal of Computer Science and Information Technology
سال: 2014
ISSN: 0975-4660,0975-3826
DOI: 10.5121/ijcsit.2014.6308