董美娜,刘丽平,王泽忠,王守强,张子岩,邹运.基于Stacking集成学习的有源台区线损率评估方法[J].电测与仪表,2023,60(6):134-139. Dong meina,Liu Liping,Wang Zezhong,Wang Shouqiang,Zhang Ziyan,Zou Yun.A line loss rate evaluation method based on Stacking ensemble learning for transformer district with DG[J].Electrical Measurement & Instrumentation,2023,60(6):134-139.
基于Stacking集成学习的有源台区线损率评估方法
A line loss rate evaluation method based on Stacking ensemble learning for transformer district with DG
A line loss rate evaluation method based on Stacking ensemble learning for transformer district with DG was proposed in this paper. Firstly, data of transformer districts with DG were extracted from specific systems and processed by several algorithms to establish the indicators. Then, considering the difference of algorithms, linear regression, random forest and GBDT were involved in base-learner layer. The model based on multi-algorithm combination of Stacking ensemble learning was built. Finally, accuracy and effectiveness of the proposed method is confirmed based on the data of transformer districts with DG. The results demonstrate that the proposed method has better evaluation accuracy and higher generalization compared with the methods of random forest and GDBT.
