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 4 不同损失函数权重系数的预测误差对比

Tab.4 Comparison of prediction errors of different loss function weight coefficients

${{\alpha } }$/ ${{\beta } }$/ ${{\gamma } }$ ${{\varepsilon } }_{{{\rm{RMSE}}} }$/kW ${{\alpha } }$/ ${{\beta } }$/ ${{\gamma } }$ ${{\varepsilon } }_{{{\rm{RMSE}}} }$/kW ${{\alpha } }$/ ${{\beta } }$/ ${{\gamma } }$ ${{\varepsilon } }_{{{\rm{RMSE}}} }$/kW 1/0.5/0.001 138.9 1/1/0.0005 144.1 1/1/0.005 142.3 1/1/0.002 144.2 1/1/0.01 126.4 1/5/0.001 148.8 1/10/0.001 133.9 2/1/0.001 130.5 10/1/0.001 166.7