SVM with improved grid search and its application to wind power prediction

Abstract

Wind power prediction is of great significance to the safe and stable operation of the power system. The key factor of wind power prediction is the selection of prediction model. This paper chooses support vector machine (SVM) as the wind power prediction model and applies an improved grid search method to optimize the parameters of C and g in SVM model… (More)
DOI: 10.1109/ICMLC.2013.6890363

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Cite this paper

@article{Meng2013SVMWI, title={SVM with improved grid search and its application to wind power prediction}, author={Li Meng and Jin-Wei Shi and Hao Wang and Xiao-Qiang Wen}, journal={2013 International Conference on Machine Learning and Cybernetics}, year={2013}, volume={02}, pages={603-609} }