基于组合损失函数的BP神经网络风力发电短期预测方法

刘芳,汪震,刘睿迪,王锴

Short-term forecasting method of wind power generation based on BP neural network with combined loss function

Fang LIU,Zhen WANG,Rui-di LIU,Kai WANG

表 3 训练后的模型的预测功率误差对比

Tab.3 Comparison of prediction errors of trained models 单位：kW

训练集样本数 ${{\varepsilon } }_{{{\rm{MAE}}} }$/ ${{\varepsilon } }_{{{\rm{RMSE}}} }$ MSE MSE+CE MSE+CE+RK 900 121.7/145.0 119.5/138.3 110.0/133.9 1800 153.9/162.6 146.1/155.1 131.7/141.6 4500 134.3/161.0 128.5/150.9 118.1/144.1 7200 104.2/113.3 98.5/108.7 94.5/105.2 9000 146.6/171.9 134.0/159.3 103.2/128.9