Prediction of Distribution Network Line Loss Rate Based on Ensemble Learning

Prediction of Distribution Network Line Loss Rate Based on Ensemble Learning

The distribution network line loss rate is a crucial factor in improving the economic efficiency of power grids. However, the traditional prediction model has low accuracy. This study proposes a predictive method based on data preprocessing and model integration to improve accuracy. Data preprocess...

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Bibliographic Details
Main Authors: Jian-Yu Ren, Jian-Wei Zhao, Nan Pan, Nuo-Bin Zhang, Jun-Wei Yang
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2023-12-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
line loss rate prediction
integrated learning
K-means clustering
LSTM
XGBoost
Online Access:https://www.ojs.imeti.org/index.php/IJETI/article/view/12869

Internet

https://www.ojs.imeti.org/index.php/IJETI/article/view/12869

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