Chi Yongning,Liu Yanhua,Wang Weisheng,et al．Study on impact of wind power integration on power system[J]．Power System Technology,2007,31(3)：77-81(in Chinese)．
Feng Shuanglei,Wang Weisheng,Liu Chun,et al．Study on the physical approach to wind power prediction[J]．Proceedings of the CSEE,2010,30(2)：1-6(in Chinese)．
[9]
Pelikan E,Eben K,Resler J,et al．Wind power forecast by an empirical model using NWP output[C]// International Conference on Environment and Electrical Engineering．Prague,Czech Republic：IEEE,2010：45-48．
[10]
Kavasseri R G,Seetharaman K．Day-ahead wind speed foresting using f-ARIMA models[J]．Renewable Energy,2009,5(34)：1388-1393．
Dong Lei,Wang Lijie,Gao Shuang,et al．Modeling and analysis of prediction of wind power generation in the large wind farm based on chaotic time series[J]．Transactions of China Electrotechnical Society,2011,23(11)：125-128(in Chinese)．
Fan Gaofeng,Wang Weisheng,Liu Chun,et al．Wind power prediction based on artificial neural networks[J]．Proceedings of the CSEE,2008,28(34)：118-123(in Chinese)．
Pan Difu,Liu Hui,Li Yanfei．A wind speed forecasting optimization model for wind farms based on times series analysis and Kalman filter algorithm[J]．Power System Technology,2008,32(7)：82-86(in Chinese)．
[17]
Alexiadis M C,Dokopoulos P S,Sahsamanoglou H S．Wind speed and power forecasting based on spatial correlation models[J]．IEEE Transactions on Energy Conversion,1999,3(14)：836-842．
[18]
Gong Li,Jing Shi．On comparing three artificial neural networks for wind speed forecasting[J]．Applied Energy,2010,7(87)：2313-2320．
Ding Zhiyong,Yang Ping,Yang Xi,et al．Wind power prediction method based on sequential time clustering support vector machine[J]．Automation of Electric Power Systems,2012,36(14)：131-135(in Chinese)．
[21]
张文修,吴伟志,梁吉业,等．粗糙集理论与方法[M]．北京：科学出版社,2001：12-16．
[22]
Zhang Wenxiu,Wu Weizhi,Liang Jiye,et al．Rough set theory and method[M]．Beijing：Science Press,2001：12-16(in Chinese)．
[23]
Richard J,Shen Qiang．Fuzzy-rough sets for descriptive dimensionality reduction[C]//Proceeding of the 11th International Conference on Fuzzy Systems．Hawaii,USA：IEEE,2002：29-34．
[24]
Radzikowska A M,Kerre E E．A comparative study of fuzzy rough set[J]．Fuzzy Set and Systems,2002,126(1)：137-156．
Li Dahu,Jiang Quanyuan,Cao Yijia．Clustering based on support vector regression model and its application in power system transient stability prediction[J]．Transactions of China Electrotechnical Society,2006,21(7)：75-80(in Chinese)．
Liu Bingxiang,Li Hailin．Method of factor weights allocation based on combination of fuzzy rough set[J]．Control and Decision,2007,22(12)：1438-1440(in Chinese)．
Mi Zengqiang,Liu Xingjie,Zhang Yanqing,et al．Direct multi-step forecasting of short-term wind speed based on chaos analysis and neural network[J]．Acta Energiae Solaris Sinica,2011,32(6)：901-905(in Chinese)．
Yang Xiyun,Sun Baojun,Zhang Xinfang,et al．Short-term wind speed forecasting based on support vector machine with similar data[J]．Proceedings of the CSEE,2012,32(4)：35-40(in Chinese)．
Wang Zhiyong,Guo Chuangxin,Cao Yijia．A method for load forecasting integrating fuzzy rough set with artificial neural network[J]．Proceedings of the CSEE,2005,25(19)：7-11(in Chinese)．
