Distribution Networks Fault Recovery Strategy Fused With Convolutional Neural Networks-Bi-Directional Long Short-Term Memory-Attention Net Load Forecasting

CHU Yundi; DING Zekai; LIN Zhengyu; LÜ Zhan; HOU Shixi; SHI Pengfei

doi:10.12096/j.2096-4528.pgt.260303

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Distribution Networks Fault Recovery Strategy Fused With Convolutional Neural Networks-Bi-Directional Long Short-Term Memory-Attention Net Load Forecasting

Intelligent Learning-Empowered Power Generation in New Power Systems | Updated：2026-07-24

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- Distribution Networks Fault Recovery Strategy Fused With Convolutional Neural Networks-Bi-Directional Long Short-Term Memory-Attention Net Load Forecasting
- CHU Yundi , DING Zekai , LIN Zhengyu , LÜ Zhan , HOU Shixi , SHI Pengfei
- Power Generation Technology Vol. 47, Issue 3, Pages: 494-503(2026)
- Affiliations：
  1.College of Artificial Intelligence and Automation, Hohai University, Nanjing 210024, Jiangsu Province, China
  2.State Grid Jiangsu Nanjing Electric Power Supply Company, Nanjing 210008, Jiangsu Province, China
- Author bio：
- Funds：
- DOI： 10.12096/j.2096-4528.pgt.260303
  CLC：
- Revised：2025-12-26 ，
- Accepted：
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Distribution Networks Fault Recovery Strategy Fused With Convolutional Neural Networks-Bi-Directional Long Short-Term Memory-Attention Net Load Forecasting

DOI： 10.12096/j.2096-4528.pgt.260303

Full Text(HTML)

Figs( 8 ) Tabs( 6 )

References

Publication Info

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摘要

Abstract

关键词

Keywords

references