Your Location:
Home >
Browse articles >
Research on Key Technologies for Enhancing Large Language Model Capabilities in Power Grid Dispatch and Control
Frontier AI Technologies and Large Model Applications for New Power Systems | Updated:2026-09-04
    • Research on Key Technologies for Enhancing Large Language Model Capabilities in Power Grid Dispatch and Control

    • YANG Qingbo , ZHU Shuguang , LIU Dong , FENG Qiong , MA Xinxin , WANG Jiaqi , WU Shuzhou , LÜ Shang
    • Power Generation Technology Vol. 47, Issue 4, Pages: 697-708(2026)
    • DOI: 10.12096/j.2096-4528.pgt.260402     

      CLC:
    • Revised:2026-01-25 ,

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • Figs( 9 ) Tabs( 3 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

14

Views

3

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives
YOLOv5m and Segment Anything Model Collaborative Segmentation Method for Rapid and Accurate Detection of Incoming Coal Particle Size in Thermal Power Plants
Mechanical Stability Analysis of High-Temperature Superconducting D-Shaped Magnets and Toroidal Field Coils for Fusion
Design and Analysis of Power Amplification of Methane Hydrogen-Doped Micro-Mixed Burner
Transformer and Q Learning Dual-Driven Smart Generation Control for New Power Systems

Related Author

GU Chenjia
HE Binghao
RUAN Jiaqi
HUANG Jing
XU Zhao
WEN Fushuan

Related Institution

College of Electrical Engineering, Sichuan University
Energy Development Research Institute, China Southern Power Grid
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University
College of Electrical Engineering, Zhejiang University