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[1]et al., Aoife M. Foley, Runmin Zou, Yifen Li, Yun Wang.Sparse Heteroscedastic Multiple Spline Regression Models for Wind Turbine Power Curve Modeling[J].IEEE Transactions on Sustainable Energy, 2020
[2]Shenglei Pei, Qinghua Hu, Yun Wang.Wind Power Curve Modeling with Asymmetric Error Distribution.IEEE Transactions on Sustainable Energy, 2019
[3]Dipti Srinivasan, Aoife M Foley, Linhao Li, Qinghua Hu, Yun Wang.Approaches to wind power curve modeling: A review and discussion.Renewable and Sustainable Energy Reviews, 2019, 116
[4]Yun Wang, Jian-Zhou Wang.A novel wind speed forecasting model for wind farms of Northwest China.International Journal of Green Energy, 2017, 14 (5) : 463-478.
[5]Qinghua Hu, Yun Wang, Haibo Wang.Self-adaptive robust nonlinear regression for unknown noise via mixture of Gaussians.Neurocomputing, 2017, 235: 274-286.
[6]Qinghua Hu, Dipti Srinivasan, Haibo Wang, Yun Wang.Robust functional regression for wind speed forecasting based on Sparse Bayesian learning.Renewable Energy, 2019, 132: 43-60.
[7]Shenghua Xiong, Qinghua Hu, Zongxia Xie, Yun Wang.Correlation aware multi-step ahead wind speed forecasting with heteroscedastic multi-kernel learning.Energy Conversion and Management, 2018, 163: 384-406.
[8]Zheng Wang, Dipti Srinivasan, Qinghua Hu, Yun Wang.Wind power curve modeling and wind power forecasting with inconsistent data.IEEE Transactions on Sustainable Energy, 2018, 10 (1) : 16-25.
[9]Daren Yu, Pengfei Zhu, Zongxia Xie, Yun Wang, Qinghua Hu.On estimating uncertainty of wind energy with mixture of distributions.Energy, 2016, 112: 935-962.
[10]Pengfei Zhu, Deyu Meng, Qinghua Hu, Yun Wang.Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive r.Applied Energy, 2017, 208: 1097-1112.
[11]Jianzhou Wang, Yun Wang, Ping Jiang.Short-term wind speed forecasting using a hybrid model[J].Energy, 2017, 119: 561-577.
[12]Xiang Wei, Jianzhou Wang, Yun Wang.A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China[J].Energy, 2015, 91: 556-572.
[13]Ping Jiang, Yun Wang, Jian-Zhou Wang.The study and application of a novel hybrid forecasting model–A case study of wind speed forecasting in China[J].Applied Energy, 2015, 143: 472-488.

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