Fang Gaofeng, Wang Weisheng, Liu Chun. Artificial neural network based wind power short term prediction system[J]. Power system Techndogy, 2008, 32(22): 72-76.
Li Hong. Theory of granular set: A new model ofgranular computing[J]. Journal of Chongqing University of Posts and Telecommunications( Natural Science), 2007,19(4): 397-404.
Huang Zhaohua, Deng Yixiong. An approach for granular computing and its application[J]. Journal of East China Jiaotong University, 2005, 22(5): 124-127.
[7]
Vapnik V. The nature of statistical learning[M]. New York: Springer, 1995.
[8]
A Bargiela, W Pedrycz. Granular computing: an introduction[M]. Kluwer Academic Publishers, Dodrection, 2003.
[9]
Liu Yongqian, Han Shuang, Hu Yongsheng. Review on short-term wind power prediction[J]. Modern Electric Power, 2007, 24(5): 6-11.
[10]
Sideratos G, Hatziargyriou N D. An advanced statistical method for wind power forecasting[J]. IEEE Transactions on Power Systems, 2007, 22(1): 258-265.
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.
Niu Chenguang, Liu Cong. Neural network model for short-term wind power prediction based on phases pace reconstruction[J]. Electric Power, 44(11): 73-77.