Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives

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

doi:10.12096/j.2096-4528.pgt.260401

您当前的位置：

首页 >

文章列表页 >

Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives

Frontier AI Technologies and Large Model Applications for New Power Systems | 更新时间：2026-09-04

- Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives
- Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives
- GU Chenjia ，HE Binghao ，RUAN Jiaqi ，HUANG Jing ，XU Zhao ，WEN Fushuan
- 发电技术（英文版） 2026年47卷第4期页码：677-696
- 作者机构：
  1.College of Electrical Engineering, Sichuan University, Chengdu 610000, Sichuan Province, China
  2.Energy Development Research Institute, China Southern Power Grid, Guangzhou 511500, Guangdong Province, China
  3.Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
  4.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, Zhejiang Province, China
- 作者简介：
  Gu Chenjia (1995), male, Ph.D., Assistant Researcher. Research interests focus on the planning and operation optimization of new power systems. Email: gcj0629@scu.edu.cn
  He Binghao (1998), male, Ph.D., Engineer. Research interests focus on energy strategy and policy, electricity markets, low-carbon economy, smart grids, and artificial intelligence. Email: hebh@csg.cn
  Ruan Jiaqi (1994), male, Ph. D., associate researcher. Research interests focus on power system AI algorithms and applications, and climate risk and resilience. Email: jiaqiruan@scu.edu.cn (corresponding author)
  Huang Jing (1994), female, Ph.D., Lecturer. Research interests focus on AI-enabled Vehicle-to-Grid (V2G) technology. Email: huangjing123@scu.edu.cn
  Xu Zhao (1974), male, Ph.D., Professor. Research interests focus on AI and big data technologies in smart grid applications. Email: eezhaoxu@polyu.edu.hk
  Wen Fushuan (1965), male, Ph.D., Professor. Research interests focus on AI applications in power and industrial energy. Email: fu-shuan_wen@zju.edu.cn
- 基金信息：
  National Natural Science Foundation of China(72501195);China Postdoctoral Science Foundation(2025M770483)
- DOI： 10.12096/j.2096-4528.pgt.260401
  中图分类号：
- 修回：2026-05-25 ，
- 稿件说明：
移动端阅览
DOI：
DOI：

HTML全文
图( 3 ) 表( 5 )
参考文献
出版信息
数据统计

摘要

Abstract

关键词

Keywords

references

18

浏览量

2

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

关联资源

Transformer and Q Learning Dual-Driven Smart Generation Control for New Power Systems

Photovoltaic Power Prediction Based on Sample Entropy Clustering Decomposition-Inverted Transformer Model

Mechanical Stability Analysis of High-Temperature Superconducting D-Shaped Magnets and Toroidal Field Coils for Fusion

Numerical Simulation and Temperature Control Performance of Lithium Battery Thermal Management System Based on Composite Phase Change Material