Yuan Xiaoming.The basic framework of large-scale wind power integration problems[J].Journal of Electric Power Science and Technology, 2012, 27(1):16-18.
[5]
Kariniotakis G, Waldl I H P, Marti I, et al.Next generation forecasting tools for the optimal management of wind generation[C].Probabilistic Methods Applied top ower Systems, Stockholm, Sweden, 2006:1-6.
[6]
Negnevitsky M, Potter C W.Innovative short-term wind generation prediction techniques[C].Power Engineering Society General Meeting, Montreal, Canada, 2006:60-65.
[7]
Alexiadis M C, Dokopoulos P S, Sahsamanoglou H S.Short term forecasting of wind speed and related electrical power[J].Solar Energy, 1998, 63(1):61-68.
Ding Ming, Zhang Lijun, Wu Yichun.Wind speed forecasting model based on time series analysis[J].Electric Power Automation Equipment, 2005, 25(8):32-34.
Wu Xiaomei, Bai Yinming, Wen Fushuan.Short-term wind power forecast based on the Radial Basis Function neural network[J].Power System Protection and Control, 2011, 39(15):80-83.
[12]
Kariniotakis G N, Stavrakakis G S, Nogaret E F.Wind power forecasting using advanced neural networks models[J].IEEE Transactions on Energy Conversion, 1996, 11(4):762-767.
Xiu Chunbo, Ren Xiao, Li Yanqing, et al.Short-term prediction method of wind speed series based on Kalman filtering fusion[J].Transactions of China Electrotechnical Society, 2014, 29(2):253-259.
[15]
Bossanyi E A.Short-term wind speed using Kalman filters[J].Wind Engineering, 1985, 9(1):1-7.
[16]
罗文, 王莉娜.风场短期风速预测研究[J].电工技术学报, 2011, 26(7):68-74.
[17]
Luo Wen, Wang Lina.Short-term wind speed forecasting for wind farm[J].Transactions of China Electrotechnical Society, 2011, 26(7):68-74.
Sun Bin, Yao Haitao.The short-term wind speed forecast analysis based on the PSO-LSSVM predict model[J].Power System Protection and Control, 2012, 40(5):85-89.
Sun Yuanzhang, Wu Jun, Li Guojie, et al.Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic programming[J].Proceedings of the CSEE, 2009, 29(4):41-47.
[24]
Barthelmie R J, Murray F, Pryor S C.The economic benefit of short-term forecasting for wind energy in the UK electricity market[J].Energy Policy, 2008, 36(5):1687-1696.
[25]
Sloughter J M, Gneiting T, Raftery A E.Probabilistic wind vector forecasting using ensembles and Bayesian model averaging[J].Monthly Weather Review, 2013, 141(6):2107-2119.
Yan Yong, Wen Fushuan, Yang Shouhui, et al.Generation scheduling with fluctuating wind power[J].Automation of Electric Power Systems, 2010, 34(6):79-88.
Li Zhi, Han Xueshan, Yang Ming, et al.Wind power fluctuation interval analysis based on quantile regression[J].Automation of Electric Power Systems, 2011, 35(3):83-87.
[30]
Bremnes J B.Probabilistic wind power forecasts using local quantile regression[J].Wind Energy, 2004, 7(1):47-54.
[31]
Rasmussen C E, Williams C K I.Gaussian processes for machine learning[M].Massachusetts:The MIT Press, 2006.
[32]
Williams C K I.Prediction with Gaussian processes:From linear regression to linear prediction and beyond[R].Birmingham:Aston University, 1997.
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.
Wang He, Hu Zhijian, Chen Zhen, et al.A hybrid model for wind power forecasting based on ensemble empirical mode decomposition and wavelet neural networks[J].Transactions of China Electrotechnical Society, 2013, 28(9):137-144.
[37]
Guindon S, Gascuel O.A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood[J].Systematic Biology, 2003, 52(5):696-704.
[38]
Wu Zhaohua, Huang N E.A study of the characteristics of white noise using the empirical mode decomposition method[J].Process of the Royal Society of London Series A, 2003, 460(2046):1597-1611.
[39]
Wu Zhaohua, Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method[J].Advances in Adaptive Data Analysis, 2009, 1(1):1-41.
[40]
Goldberg D E.Genetic algorithm in search, optimization and machine learning[M].New Jersey:Addison-Wesley, 1989.
Yang Shijie.A new method of removing singular points in dynamic testing data—absolute mean value method and its application study[J].China Measurement & Testing Technology, 2006, 32(1):47-49, 82.
[43]
Pinson P, Kariniotakis G.Conditional prediction intervals of wind power generation[J].IEEE Transactions on Power System, 2010, 25(4):1845-1856.
[44]
Sideratos G, Hatziargyriou N D.Probabilistic wind power forecasting using radial basis function neural networks[J].IEEE Transactions on Power System, 2012, 27(4):1788-1796.
[45]
Pinson P, Nielsen H, Moller J, et al.Nonparametric probabilistic forecasts of wind power:required properties and evaluation[J].Wind Energy, 2007, 10(6):497-516.