您当前的位置:
首页 >
文章列表页 >
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 | 更新时间:2026-09-04
    • Research on Key Technologies for Enhancing Large Language Model Capabilities in Power Grid Dispatch and Control

    • 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
    • 发电技术(英文版) 2026年47卷第4期 页码:697-708
    • DOI: 10.12096/j.2096-4528.pgt.260402     

      中图分类号:
    • 修回:2026-01-25 ,

    移动端阅览

  •  
  •  
  • HTML全文

  • 图( 9 ) 表( 3 )

  • 参考文献

  • 出版信息

  • 数据统计

论文导航
icon
试读结束,您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束,您可以通过登录账户,到个人中心,购买VIP会员阅读全文。
已是VIP会员?
去登录 >

14

浏览量

3

下载量

0

CSCD

文章被引用时,请邮件提醒。
提交
工具集
  • BibTeX下载
  • Endnote下载
  • RefMan 下载
  • NoteExpress下载
  • NoteFirst下载

相关文章

Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives
Variable Step Power Tracking Control Strategy for Expander-Generator Systems in Distributed Compressed Air Energy Storage
Fault Data Identification in Condition Monitoring Systems for Wind Turbine Generator Bearings Based on BERT Model
Electricity Spot Market Price Prediction Based on Multi-Modal Large Models
Distributed Coordinated Optimization of Interconnected Island Microgrid Clusters Considering Multiple Flexible Resources

相关作者

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

相关机构

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