2025 International Conference on Power Systems, Smart Grid, and Artificial Intelligence

December 26-28, 2025  Xining, China

Welcome to PSGAI 2025

Amid the accelerating global energy transition and the deep integration of digital technologies, power systems and smart grids—enhanced by artificial intelligence—are reshaping the way energy is produced, managed, and consumed. In response to these evolving dynamics, the 2025 International Conference on Power Systems, Smart Grid, and Artificial Intelligence (PSGAI 2025) will take place in Xining, China, from December 26 to 28, 2025.

PSGAI 2025 is dedicated to providing a premier international platform for researchers, engineers, and industry leaders to exchange cutting-edge ideas, share technological breakthroughs, and explore future trends in power systems, smart grids, and AI applications. We cordially invite experts, scholars, research teams, and industry professionals worldwide to submit papers and participate in this event, jointly shaping the intelligent and sustainable future of energy systems!

Important Dates

Full Paper Submission Deadline

September 26, 2025

Registration Deadline

October 31, 2025

Final Paper Submission Deadline

November 14, 2025

Conference Dates

December 26-28, 2025

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Publication

All submissions will undergo a double-blind peer review by 2-3 experts in relevant fields. Acceptance will be based on the quality of the paper and satisfactory revisions in response to reviewers’ comments. Accepted papers, will be submitted to IEEE for publication (ISBN: 979-8-3315-9118-2), included in the IEEE Xplore database, and submitted by the publisher to EI Compendex and Scopus for indexing.

Call for Papers

  • Power system stability, dynamics, and control
  • Grid optimization and operational planning
  • Grid automation and decentralized control
  • Internet of Things (IoT) in energy systems
  • Machine learning and AI applications in smart grids

Sponsored by

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Qinghai University, China

Technical Co-Sponsor


IEEE Power and Energy Society (IEEE PES)

Supported by

School of Energy and Electrical Engineering, Qinghai University, China

Copyright@PSGAI 2025

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