Pan Difu, Liu Hui, Li Yanfei. Optimization algorithm of short-term multi-step wind speed forecast[J]. Proceedings of the CSEE, 2008, 28(26): 87-91.
[3]
Kariniotakis G, Stavrakakis G, Nogaret E. Wind power forecasting using advanced neural network models[J]. IEEE Transactions on Energy Conversion, 1996, 11(4): 762-767.
Michael E Tipping. Sparse Bayesian learning and the relevance vector machine[J]. Journal of Machine Learning Research, 2001, 1(3): 211-244.
[6]
Liu Zunxiong, Zhang Deyun, Sun Qindong, et al. Mid-term electric load prediction based on the relevant vector machine[J]. Journal of Xi’an Jiaotong University, 2004, 38(10): 1005-1008.
Wang Wei, Guo Xiaoming, Wang Shuyan, et al. On the method of kernel-function selection in support vector machine[J]. Journal of Liaoning Normal University(Natural Science Edition), 2008, 31(1): 1-4.
Sun Chunshun, Wang Yaonan, Li Xinran. A vector autoregression model of hourly wind speed and its applications in hourly wind speed forecasting[J]. Proceedings of the CSEE, 2008, 28(14): 112-117.
Ding Ming, Zhang Lijun, Wu Yichun. Wind speed forecast model for wind farms based on time series analysis[J]. Electric Power Automation Equipment, 2005, 25(8): 32-34
Fan Gaofeng, Wang Weisheng, Liu Chun, et al. Wind power prediction based on artificial neural network[J]. Proceedings of the CSEE, 2008, 28(34): 118-123.
Li Wenliang, Wei Zhinong, Sun Guoqiang, et al. Multi-terval wind speed forecast model based on improved spatial correlation and RBF neural network[J]. Electric Power Automation Equipment, 2009, 29(6): 89-92.
Zhang Guoqiang, Zhang Boming. Wind speed and wind turbine output forecast based on combination method[J]. Automation of Electric Power Systems, 2009, 33(18): 92-96.
Joaquin Quinonero-Candela, Lars Kai Hansen. Time series prediction based on the relevance vector machine with adaptive kernels[C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Hong Kong, China, 2002, 1: 985-988.
Liu Fang, Zhou Jianzhong, Qiu Fangpeng, et al. Nonlinear time series forecasting based on relevance vector regression[J]. Computer Engineering, 2008, 34(3): 1-5.
Niu Lin, Du Zhigang, Zhao Jianguo. Prediction of audible noise of AC UHV transmission lines based on relevance vector machine[J]. Electric Power Automation Equipment, 2009, 29(6): 71-76.
[28]
Shian-Chang Huang, Tung-Kuang Wu. Wavelet-based relevance vector machines for stock index forecasting[C]. 2006 International Joint Conference on Neural Networks, 2006: 603-609.
[29]
Wang Lijie, Liao Xiaozhong, Gao Yang, et al. Summarization of modeling and prediction of wind power generation[J]. Power System Protection and Control, 2009, 37(13): 118-121.
