論文

• A. Salazar, J., Zheng, Y. Che, F. Xiao. Deep generative model for probabilistic wind speed and wind power estimation at a wind farm, Energy Science and Engineering, Vol. 10, pp. 1855–1873, June 2022.
• A.A. Salazar, Y. Che, J. Zheng, F. Xiao. Multivariable neural network to postprocess short‐term, hub‐height wind forecasts, Energy Science & Engineering, Vol. 10, June 2021.
• Y. Che, C.G. Chen, F. Xiao, X.L. Li, S.X. Shen. A two-stage fourth-order multimoment global shallow-water model on the cubed sphere, Monthly Weather Review, Vol. 148, pp. 4267-4279, Oct. 2020.  公式リンク  
  
• J. Jin, Y.Z. Che, J.F. Zheng, F. Xiao. Uncertainty Quantification of a Coupled Model for Wind Prediction at a Wind Farm in Japan, Energies, 12, 8, 1505, Jan. 2019.  公式リンク  
  
• Y Che, F Xiao. An integrated wind-forecast system based on the weather research and forecasting model, Kalman filter, and data assimilation with nacelle-wind observation, Journal of Renewable and Sustainable Energy, Oct. 2016.  公式リンク  
  
• Yuzhang Che, Xindong Peng, Luca Delle Monache, Takayuki Kawaguchi, Feng Xiao. A wind power forecasting system based on the weather research and forecasting model and Kalman filtering over a wind-farm in Japan, Journal of Renewable and Sustainable Energy, Vol. 8, No. 1, 2016.  公式リンク  
  

国際会議発表 (査読なし・不明)

• A. Salazar, Y. Che, F. Xiao. Multivariable machine learning model to postprocess surface wind forecasts, 3rd International Conference on Computational Engineering and Science for Safety and Environmental Problems (COMPSAFE2020)-Online, Dec. 2020.

国内会議発表 (査読なし・不明)

• 車 玉章, 肖 鋒. メソスケール気象モデル及びカルマンフィルターとデータ同化を併用した風力予測システムの開発, 第30回数値流体力学シンポジウム, 東京， 2016 年12月, Dec. 2016.
• 車 玉章, Xindong Peng, 肖 鋒. WRFモデル及びカルマンフィルターに基づく風力予測システムの構築と実証, 日本流体力学会年会２０１５，東京，2015年9月, 2015.

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