Analysis of Factors Influencing Mountain Wind Power Generation Based on Grey Relational Analysis

Author:

Dang Zhehui

Publisher

Atlantis Press International BV

Reference15 articles.

1. Villanueva D , A Feijóo.(2016) Normal-Based Model for True Power Curves of Wind Turbines. IEEE Transactions on Sustainable Energy , 7(3):1005‒1011.

2. Bossanyi, Ervin. (2013) Un-freezing the turbulence: application to LiDAR-assisted wind turbine control. Iet Renewable Power Generation, 7(4):321‒329.

3. Mettam, G.R., Adams, L.B. (2009) How to prepare an electronic version of your article. In: Jones, B.S., Smith, R.Z. (Eds.), Introduction to the Electronic Age. E-Publishing Inc., New York. pp. 281‒304.

4. Gao M X , Bai J P .(2013) Monitoring System Design of Wind Power Generation[C]// International Conference on Intelligent Systems Design & Engineering Applications. IEEE Computer Society.

5. S. Chakkor, H.A. Patel, A.V. Senthil Kumar, et al.( 2021) Fault severity sensing for intelligent remote diagnosis in electrical induction machines: an application for wind turbine monitoring. Applications of Artificial Neural Networks for Nonlinear Data, IGI Global, pp. 180–206.

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