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Research on Ice Accretion Prediction Model for Wind Turbine Blades Based on Multi-Layer Perceptron Neural Network
Power Generation Technology Vol. 47, Issue 1, Pages: 65-74(2026)
New Energy|Updated：2026-05-15
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Research on Ice Accretion Prediction Model for Wind Turbine Blades Based on Multi-Layer Perceptron Neural Network
- “A breakthrough has been made in ice warning for wind turbine blades in cold regions, and the team has constructed a multi-layer perceptron neural network model, providing a new and more accurate ice prediction method for the wind power industry.”
DOI：10.12096/j.2096-4528.pgt.260106
Revised：2025-02-20
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Related Author
LIU Xu
MO Haotian
YAN Xiangyu
FANG Jianhao
LU Chunbo
FAN Jia
HU Weifei
LÜ Jingbo
Related Institution
New Energy Branch of Huadian (Ningxia) Energy Co., Ltd., Yinchuan 750000, Ningxia Autonomous Region
College of Mechanical Engineering, Zhejiang University
Huadian Electric Power Research Institute Co., Ltd.
Huaneng Renewables Co., Ltd. Mengxi Branch, Hohhot 010020, Inner Mongolia Autonomous Region
School of Artificial Intelligence, School of Automation, Xi’an University of Posts and Telecommunications
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