Research on Ice Accretion Prediction Model for Wind Turbine Blades Based on Multi-Layer Perceptron Neural Network

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Research on Ice Accretion Prediction Model for Wind Turbine Blades Based on Multi-Layer Perceptron Neural Network

New Energy | Updated：2026-06-03

- Research on Ice Accretion Prediction Model for Wind Turbine Blades Based on Multi-Layer Perceptron Neural Network
- HAN Bin , ZENG Zhixiang , KONG Fanxin , XIE Nan , LIU Zhiqiang
- Power Generation Technology Vol. 47, Issue 1, Pages: 65-74(2026)
- Affiliations：
  1.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, Shaanxi Province, China
  2.School of Energy Science and Engineering, Central South University, Changsha 410083, Hunan Province, China
- Author bio：
  HAN Bin (1981), male, Master’s Degree, Senior Engineer. Research interests focus on new energy power generation. Email: hanbin@tpri.com.cn
  ZENG Zhixiang (1998), male, Master’s Candidate. Research interests focus on wind turbine icing. Email: 213912074@csu.edu.cn
  KONG Fanxin (1986), male, Engineer. Research interests focus on new energy power generation. Email: kongfanxin@tpri.com.cn
  XIE Nan (1991), male, Ph.D., Lecturer. Research interests focus on the development and evaluation of energy systems and gas hydrates. Email: xienan@csu.edu.cn
  LIU Zhiqiang (1970), male, Ph.D., Professor. Research interests focus on heat and mass transfer and system energy conservation. Email: liuzq@csu.edu.cn(Editor: MIAO Xuelian)
- Funds：
- DOI： 10.12096/j.2096-4528.pgt.260106
  CLC：
- Revised：2025-02-20 ，
- Accepted：
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