您当前的位置:
首页 >
文章列表页 >
Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks
Renewable Energy and Energy Storage | 更新时间:2025-08-06
    • Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks

    • “New progress has been made in the field of risk assessment for new energy power systems. Experts have proposed a graph neural network model based on multi head attention mechanism, which effectively improves the robustness and efficiency of the assessment.”
    • Electric Power Construction   Vol. 46, Issue 1, Pages: 147-157(2025)
    • DOI:10.12204/j.issn.1000-7229.2025.01.013    

      CLC: TM73
    • Received:03 January 2024,

      Revised:2024-03-01,

      Published:01 January 2025

    移动端阅览

  • BAI Yunpeng,ZHANG Zhiyan,XU Cai,et al.Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks[J].Electric Power Construction,2025,46(01):147-157. DOI: 10.12204/j.issn.1000-7229.2025.01.013.

  •  
  •  

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

No data

Related Author

Xinchi WEI
Jia DONG
Shanshan SHI
Cunbin LI
Yun SU
Hao LUO
Changjiang WANG
Jianguo WANG

Related Institution

School of Economics and Management,North China Electric Power University
State Grid Shanghai Electric Power Research Institute
Jilin Power Supply Company, State Grid Jilin Electric Power Co., Ltd.
School of Electrical Engineering,Northeast Elecrtic Power University
College of Electrical Engineering, Sichuan University
0