您当前的位置：
首页 >
文章列表页 >
Analysis and Prediction of Over-Limit Characteristics for Regional Distribution Transformer Voltage Using Bilayer Clustering by Correlation Feature Screening
System Analysis & Operation | 更新时间：2025-07-29

    • Analysis and Prediction of Over-Limit Characteristics for Regional Distribution Transformer Voltage Using Bilayer Clustering by Correlation Feature Screening

    • “In the field of regional distribution transformer voltage prediction, experts have proposed a two-layer clustering method based on correlation feature screening, using the CNN BiLSTM Attention model to predict voltage and provide a solution for improving the voltage quality of substation users.”
    • Southern Power System Technology   Vol. 19, Issue 2, Pages: 19-27(2025)

    • DOI：10.13648/j.cnki.issn1674-0629.2025.02.003    

      CLC： TM711;TM714

    • Received：10 July 2023，

      Published Online：23 May 2024，

      Published：20 February 2025

    移动端阅览

  • GUO Shaodong,ZHAO Xiaoli,SUN Gaiping,et al.Analysis and Prediction of Over-Limit Characteristics for Regional Distribution Transformer Voltage Using Bilayer Clustering by Correlation Feature Screening[J].Southern Power System Technology,2025,19(02):19-27. DOI： 10.13648/j.cnki.issn1674-0629.2025.02.003.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Day-Ahead Economic Dispatch of Multi-Area Integrated Energy System Based on Distributed Crisscross Optimization with Sine Cosine Algorithm

Related Author

XU Xuancong
LI Yidian
MENG Anbo
ZHANG Zhan
YIN Hao
WU Zhenbo

Related Institution

School of Automation, Guangdong University of Technology
Huizhou Power Supply Bureau, Guangdong Power Grid Co., Ltd.
0