Zhang Liying, Ye Tinglu, Xin Yaozhong, et al. Problems and measures of power grid accommodating large scale wind power[J]. Proceedings of the CSEE, 2010, 30(25): 1-9.
[3]
Pei Y C, Pedersen T, Bak J B, et al. ARIMA-based time series model of stochastic wind power generation[J]. IEEE Transactions on Power Systems, 2010, 25(2): 667-676.
Dong Lei, Wang Lijie, Gao Shuang. 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, 2008, 23(12): 125-129.
[6]
Rajesh G K, Krithika S. Day-ahead wind speed forecasting using f-ARIMA models[J]. Renewable Energy, 2009, 34(5): 1388-1393.
[7]
Peiyuan C, Pedersen T, Bak J B, et al. ARIMA-based time series model of stochastic wind power generation[J]. IEEE Transactions on Power Systems, 2010, 25(2): 667-676.
[8]
Cadenas E, Rivera W. Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA-ANN model[J]. Renewable Energy, 2010, 35(7): 2732-2738.
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): 35-41.
[11]
Monfared M, Rastegar H, Kojabadi H M. A new strategy for wind speed forecasting using artificial intelligent methods[J]. Renewable Energy, 2009, 34(5): 845-848.
[12]
Huang N E, Shen Z, Long S R. The empirical mode decomposition and the Hilbert spectrum for nonlinear and-non-stationary time series analysis [J]. Proceedings of the Royal Society Soc Land, 1998, 454(1971): 903-995.
[13]
Wu Z, Huang N E. Ensemble empirical mode decomposition: a noise-assisted data analysis method[J]. Advances in Adaptive Data Analysis, 2009, 1(1): 1-41.
Sun Bin, Yao Haitao, Liu Ting. Short-term wind speed forecasting based on Gaussian process regression model[J]. Proceedings of the CSEE, 2012, 32(29): 104-109.
[16]
Kim H S, Eykholt R, Salas J D. Nonlinear dynamics, delay times and embedding windows[J]. Physica D, 1999, 127: 48-60.
Luo Xin, Zhou Yuhui, Guo Hongyu. Short-term price forecasting based on chaotic property and phase space recostructed neural networks[J]. Relay, 2008, 36(1): 48-52.
[19]
Chen Y, Peter B L, Guan C, et al. Short-term load Forecasting: similar day-based wavelet neural networks[J]. IEEE Transactions on Power Systems, 2010, 25(1): 322-330.
[20]
Guan C, Peter B L, Michel L D, et al. Very short-term load forecasting: wavelet neural networks with Data Pre-Filtering[J]. IEEE Transactions on Power Systems, 2013, 28(1): 30-41.
Hou Yiwen, Shen Jiong, Li Yiguo. A simulation study on load modeing of a thermal power unit based on wavelet neural networks[J]. Proceedings of the CSEE, 2003, 23(10): 220-224.
Wang Lijie, Dong Lei, Liao Xiaozhong, et al, Short-term power prediction of a wind farm based on wavelet analysis[J]. Proceedings of the CSEE, 2009, 29(28): 30-33.
Zhang Chunxiao, Zhang Tao. Soft measurement method for oil holdup of two phase flow based on least squares support vector machine and particle swarm optimization[J]. Proceedings of the CSEE, 2010, 30(2): 86-91.
