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Current and Future Applications of Artificial Intelligence in Power Systems: A Critical Appraisal

  • Ricardo J. Bessa
  • , Spyros Chatzivasileiadis
  • , Ning Zhang
  • , Chongqing Kang
  • , Nikos Hatziargyriou*
  • *Corresponding author for this work
  • INESC TEC
  • Tsinghua University
  • National Technical University of Athens

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

This paper provides an overview of the application potential of artificial intelligence (AI) in power systems and points towards prospective developments in the fields of AI that are promised to play a transformative role in the evolution of power systems. Among the basic requirements, also imposed by regulation in some places, are trustworthiness and interpretability. Large language models, foundation models, as well as neuro-symbolic and compound AI models, appear to be the most promising emerging AI paradigms. Finally, the trajectories along which the future of AI in power systems might evolve are discussed, and conclusions are drawn.
Original languageEnglish
JournalJournal of Modern Power Systems and Clean Energy
Volume14
Issue number1
Pages (from-to)23-36
ISSN2196-5625
DOIs
Publication statusPublished - 2026

Keywords

  • Artificial intelligence (AI)
  • Power system
  • Generative AI
  • Interpretability
  • Large language model
  • Neuro-symbolic AI
  • Trustworthiness

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