Application of Least Squares Support Vector Machine(LS-SVM) Based on Time Series in Power System Monthly Load Forecasting
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[1] Johan A. K. Suykens,et al. Weighted least squares support vector machines: robustness and sparse approximation , 2002, Neurocomputing.
[2] Ming-Wei Chang,et al. Load forecasting using support vector Machines: a study on EUNITE competition 2001 , 2004, IEEE Transactions on Power Systems.
[3] Yongli Wang,et al. Support vector machines based on Lyapunov exponents in power load forecasting model , 2008, APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems.
[4] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[5] Ming-Wei Chang,et al. Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001 , 2004, IEEE Transactions on Power Systems.
[6] Shi Peng-fei,et al. Applications of optimization combination model for medium-long term load forecasting , 2010, 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems.
[7] Ye Zhang,et al. Short-Term Load Forecasting Model Based on LS-SVM in Bayesian Inference , 2009, 2009 First International Workshop on Education Technology and Computer Science.
[8] Yin He-jun. APPLICATION OF SUPPORT VECTOR MACHINES BASED ON TIME SEQUENCE IN POWER SYSTEM LOAD FORECASTING , 2004 .
[9] S. Fan,et al. Short-term load forecasting based on an adaptive hybrid method , 2006, IEEE Transactions on Power Systems.
[10] Mihai Gavrilas,et al. Medium-term load forecasting with artificial neural network models , 2001 .