6Liu K. Comparison of very short-term load forecasting technique[J]. IEEE Trans. Power Systems, 1996,11(2): 877-882.
7Hippert H S, Pefreira C E, Souza R C. Neural network for short-term load forecasting: A review and evaluation[J].IEEE Trans. Power System. 2001,16(2): 44-54.
8Muller K R, Smola A J, Ratsch G, et al.Prediction time series with support vector machines[C].In Proc of ICANN'97., Springer LNCS 1327, Bedin,1997, 999-1004.
9Papadakis S E, Theocharis J B, Kiartzis S J, et al. A novel approach to short-term load forecasting using fuzzy neural net-works[J].IEEE Trans. Power Systems, 1998,13(2):480-492.
10Vapnik V, Golowich S, Smola A. Support vector method for function approximation, regression estimation, and signal processing[M].Cambridge, MA, MIT Press, 1997, 281-287.
2Chen M. Short-term forecasting model of web traffic based on genetic algorithm and neural network[C]//2011 2nd International Conference on Artificial Intelligence. Las Vegas, Nevada, USA: Management Scienceand Electronic Commerce, 2011: 623-626.
3Tan Y, Qin X, Jia Z, et al. An improved method of traffic forecasting based on Tariff-SASVR[C]//2009 Fifth International Conference on Natural Computation. Tianjin, China: IEEE Computer Society, 2009: 463-467.
4Li X, Lu J, Ding L, et al. Building cooling load forecasting model based LS-SVM[C]//2009 Asia-Pacific Conference on Information Processing. Shenzhen, China: Information Processing APCIP, 2009: 55- 58.
5Wang J, Peng Y, Peng X. Mobile communication traffic forecast based on a new fuzzy model[C]//IEEE International Instrumentation and Measurement Technology Conference I2MTC'09 IEEE. Singapore: Instrumentation and Measurement Technology Conference, 2009: 872- 877.
6Asif M T, Dauwels J, Goh C Y, et al. Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network[C]//2012 15th International IEEE Conference on Intelligent Transportation Systems. Anchorage, USA: Intelligent Transportation Systems (ITSC), 2012: 983-988.
7Wei X. Supporting vector-machine prediction of network traffic[C]//2011 International Conference on Electrical and Control Engineering. Yichang, China: Electrical and Control Engineering (ICECE), 2011: 3203-3206.
8Wang R, Kwong S, Chen D. A new method for multi-class support vector machines by training least number of classifiers[C]//Proceedings of the 2011 International Conference on Machine Learning and Cybernetics. Melbourne, Australia: Machine Learning and Cybernetics (ICMLC), 2011: 648-659.
