Power Quality Disturbance Classification Based on Recursive Graph and Pre-Trained Transfer Learning

WANG Jidong; WANG Zeping; ZHANG Di

doi:10.13648/j.cnki.issn1674-0629.2025.02.006

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Power Quality Disturbance Classification Based on Recursive Graph and Pre-Trained Transfer Learning

System Analysis & Operation | 更新时间：2025-07-29

- Power Quality Disturbance Classification Based on Recursive Graph and Pre-Trained Transfer Learning
- “In the field of power quality disturbance classification, experts have proposed a disturbance classification method based on recursive graph theory and pre trained transfer learning, providing a solution to the problem of insufficient measured label data.”
- Southern Power System Technology Vol. 19, Issue 2, Pages: 48-56(2025)
- 作者机构：
  
  1.智能电网教育部重点实验室（天津大学），天津 300072
  2.国网沈阳供电公司，沈阳 110000
- 作者简介：
- 基金信息：
  
  the National Key Research and Development Program of China(2022YFB4200703)
- DOI：10.13648/j.cnki.issn1674-0629.2025.02.006
  CLC： TM 732
- Received：25 August 2023，
  
  Published Online：20 May 2024，
  
  Published：20 February 2025
- 稿件说明：
移动端阅览
王继东,王泽平,张迪.基于递归图和预训练迁移学习的电能质量扰动分类[J].南方电网技术,2025,19(02):48-56.

WANG Jidong,WANG Zeping,ZHANG Di.Power Quality Disturbance Classification Based on Recursive Graph and Pre-Trained Transfer Learning[J].Southern Power System Technology,2025,19(02):48-56.
王继东,王泽平,张迪.基于递归图和预训练迁移学习的电能质量扰动分类[J].南方电网技术,2025,19(02):48-56. DOI： 10.13648/j.cnki.issn1674-0629.2025.02.006.

WANG Jidong,WANG Zeping,ZHANG Di.Power Quality Disturbance Classification Based on Recursive Graph and Pre-Trained Transfer Learning[J].Southern Power System Technology,2025,19(02):48-56. DOI： 10.13648/j.cnki.issn1674-0629.2025.02.006.

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Power Quality Disturbance Classification Based on Recursive Graph and Pre-Trained Transfer Learning

DOI：10.13648/j.cnki.issn1674-0629.2025.02.006