Agentic AI Systems in Electrical Power Systems Engineering: Current State-of-the-Art and Challenges

ABSTRACT

This paper establishes a precise taxonomy for Agentic AI within the context of electrical engineering, distinguishing it from previous automation paradigms. It presents four detailed use cases, including advanced power system studies and dynamic pricing strategies for battery stations. The methodology concludes with a failure mode investigation to derive actionable design recommendations for reliable deployment in critical infrastructure.