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

delete2026-02-03
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OA
AI
R
Ricardo J. Bessa
S
Spyros Chatzivasileiadis
N
Ning Zhang
C
Chongqing Kang
N
Nikos Hatziargyriou
DOI:10.35833/MPCE.2025.000990delete
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Abstract

Abstract

En 中文
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.
Keywords:
Artificial intelligence (AI)
power system
generative AI
interpretability
large language model
neuro-symbolic AI
trustworthiness

Journal

Journal of Modern Power Systems and Clean Energy cover
Journal of Modern Power Systems and Clean Energy
IF:
6.1
Papers:
1.6K
Citations:
6.0K

Organization

N
national technical university of athens
Scholars:
706
Papers: 286
Citations: 0
T
Tsinghua University
Scholars:
8.6K
Papers: 4.1K
Citations: 17.7W
T
technical university of denmark
Scholars:
2.6W
Papers: 2.8W
Citations: 37
I
inesc tec
Scholars:
254
Papers: 120
Citations: 0
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