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INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH
This paper proposes a new hybrid method based on support vector regression (SVR) to predict the load value of power systems accurately. The proposed method will use the SVR to overcome some deficiencies such as overfitting and complicated structure that exist in the neural network. In order to find the optimal values of the parameters, krill herd (KH) algorithm is used as the optimizer. The KH algorithm can explore the problem search space for reaching the best structure for the SVR whenfatcat:x3ms7gmi4bh4pltduhw2ioodt4