論文

• 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.
• A. Salazar, F. Xiao. Design of Hybrid Reconstruction Scheme for Compressible Flow Using Data-Driven Methods, Journal of Mechanics, Vol. 36, pp. 675-689, Oct. 2020.  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)

• Salazar Andres, 肖 鋒. データドリブンに基づく空間再構築法の開発, 第33回数値流体力学シンポジウム, Nov. 2019.

学位論文

• Design of machine learning-based methods for wind speed and wind power forecasts,  Thesis,  Doctor (Science),  Tokyo Institute of Technology,  2022/09/22,   
• Design of machine learning-based methods for wind speed and wind power forecasts,  Exam Summary,  Doctor (Science),  Tokyo Institute of Technology,  2022/09/22,   
• Design of machine learning-based methods for wind speed and wind power forecasts,  Summary,  Doctor (Science),  Tokyo Institute of Technology,  2022/09/22,   

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