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Agentic AI systems in electrical power systems engineering: current state-of-the-art and challenges
Soham Ghosh1,2, Gaurav Mittal1
1Independent Researcher, Overland Park, Kansas, KS, United States.
Frontiers in Artificial Intelligence
|June 29, 2026
Summary
Agentic artificial intelligence (AI) systems represent a new AI paradigm. This paper defines agentic AI, explores its applications in engineering, and details its use in electrical power systems, including challenges and recommendations.
Area of Science:
- Artificial Intelligence
- Engineering
- Electrical Power Systems
Background:
- Agentic AI systems offer advanced capabilities beyond traditional AI.
- A clear definition and taxonomy are needed to distinguish agentic AI.
- Global trends in clean energy and grid automation drive agentic AI adoption.
Purpose of the Study:
- To define and taxonomize agentic AI.
- To differentiate agentic AI from prior AI paradigms.
- To explore agentic AI applications in electrical power systems.
Main Methods:
- Comprehensive literature review to establish a definition and taxonomy.
- Detailed case studies of agentic AI in electrical power systems.
- Failure mode investigations for agentic AI deployment.
Main Results:
- Agentic AI is defined and distinguished from other AI models.
- Four state-of-the-art use cases in electrical power systems are presented.
- Challenges in deploying autonomous agents are identified.
Conclusions:
- Agentic AI has significant potential in electrical power systems.
- Recommendations are provided for designing safe and reliable agentic AI systems.
- The study offers a resource for researchers and practitioners in agentic AI.
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