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 | 更新时间：2026-07-24

- Distribution Networks Fault Recovery Strategy Fused With Convolutional Neural Networks-Bi-Directional Long Short-Term Memory-Attention Net Load Forecasting
- 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
- 发电技术（英文版） 2026年47卷第3期页码：494-503
- 作者机构：
  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
- 作者简介：
- 基金信息：
  National Natural Science Foundation of China(62476080);Natural Science Foundation of Jiangsu Province(BK20241779)
- DOI： 10.12096/j.2096-4528.pgt.260303
  中图分类号：
- 修回：2025-12-26 ，
- 稿件说明：
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