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.
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CITATION STYLE
Bessa, R. J., Chatzivasileiadis, S., Zhang, N., Kang, C., & Hatziargyriou, N. (2026). Current and Future Applications of Artificial Intelligence in Power Systems: A Critical Appraisal. Journal of Modern Power Systems and Clean Energy, 14(1), 23–36. https://doi.org/10.35833/MPCE.2025.000990
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