Machine Learning-Based Forecasting of Wind Turbines Ice Accretion Occurrence and Melting Initiation in Wind Farms
Energy and Meteorology Research Column|更新时间:2025-11-11
|
Machine Learning-Based Forecasting of Wind Turbines Ice Accretion Occurrence and Melting Initiation in Wind Farms
“In the field of wind power, experts have established a discrimination model for wind turbine icing occurrence and melting based on data from wind farms in mountainous areas of Hubei Province, providing a solution to the problem of wind turbine icing.”
Desert and Oasis MeteorologyVol. 19, Issue 5, Pages: 36-41(2025)
Research on the Meteorological Risk Warning Model for Geological Hazards in Gannan Prefecture
Correction of Temperature and Wind Speed Prediction for Gwadar Port Based on Machine Learning Methods
Research on O3 Concentration Prediction Using Random Forest Cluster Classification
Related Author
XIE Rui
ZHAO Huizhen
LUO Wangjun
JI Zhejun
HE Tao
BAI Rui
WANG Chengfu
Ailiyaer Aihaiti
Related Institution
Gannan Meteorological Bureau,Hezuo
Maqu Meteorological Bureau,Maqu
Tianshui Meteorological Bureau
Institute of Desert Meteorology, China Meteorological Administration/National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang/Xinjiang Key Laboratory of Desert Meteorology and Sandstorm/Desert Meteorology Field Experiment Station of China Meteorological Administration/Key Laboratory of Tree-ring Physical and Chemical Research, China Meteorological Administration