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

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

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

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- Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives
- GU Chenjia , HE Binghao , RUAN Jiaqi , HUANG Jing , XU Zhao , WEN Fushuan
- Power Generation Technology Vol. 47, Issue 4, Pages: 677-696(2026)
- Affiliations：
  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
- Author bio：
  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
- Funds：
- DOI： 10.12096/j.2096-4528.pgt.260401
  CLC：
- Revised：2026-05-25 ，
- Accepted：
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Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives

DOI： 10.12096/j.2096-4528.pgt.260401

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摘要

Abstract

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