Abstract: Based on a 3 MW doubly-fed wind turbine load model,considering the impacts of specific site conditions on wind turbine load characteristics and structural safety,GH Bladed software was used to simulate the wind turbine mechanical loads under different site conditions to form a characteristic load database. The influence characteristics of various environmental parameters on the ultimate and fatigue load of wind turbine key components are analyzed. Based on the characteristic load database and BP neural network prediction method,a ultimate and fatigue load prediction model for wind turbine key components under specific site conditions is established,and the model prediction results are compared with the simulation results. The comparison results show that the prediction error of the ultimate and fatigue load of wind turbine key components,which is based on BP neural network method,is within 6%. It means that the prediction method is generally applicable for load and structural safety assessment of wind turbines under specific site conditions.