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

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Authors: J. Bessa Ricardo, Chatzivasileiadis Spyros, Zhang Ning, Kang Chongqing, Hatziargyriou Nikos
Cited by: 3

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.

Fields of Study & Subjects

Power System Optimization and Stability Energy Load and Power Forecasting Smart Grid Security and Resilience

Publication details

Journal / source
Journal of Modern Power Systems and Clean Energy
Publisher
Journal of Modern Power Systems and Clean Energy
Volume
14
Issue
1
Pages
23–36
Publication date
1 January 2026
Language
EN