Agentic Energy Systems in Smart Grids: Theories, Technologies, and Applications

Call for Papers

Agentic Energy Systems (AES) are evolving from traditional connection-oriented architectures toward intelligent infrastructures that enable proactive planning, continuous adaptation, and decentralized coordination to manage increasing system complexity. A key enabler of this transformation is Agentic Artificial Intelligence (AI), which integrates perception, reasoning, memory, and autonomous decision-making capabilities. Unlike conventional AI-assisted energy systems, AES leverages foundation models and AI agents, enabling systems to continuously learn, interact, and evolve in response to dynamic service demands and changing environmental conditions. By embedding Agentic AI, AES have strong potential to improve system efficiency, flexibility, resilience, and scalability, while supporting capabilities such as multi-agent collaboration, task planning, self-adaptation, learning with human feedback, physics-informed learning, and autonomous workflows. Nevertheless, integrating Agentic AI into energy systems also presents significant challenges. These include the computational and communication overhead associated with multi-agent collaboration, security and privacy concerns in decentralized intelligence, and the lack of domain-specific benchmarks and protocols. Addressing these challenges will be essential for building reliable, scalable, and trustworthy energy systems.

This workshop aims to bring together cutting-edge original research and review papers from academia and industry to advance the foundational theories, emerging technologies, practical applications, and future strategies for next-generation energy systems in smart grids. By fostering collaboration and facilitating the sharing of experience, this workshop provides a timely platform for academia and industry to explore the challenges, opportunities, and real-world applications of Agentic AI and smart grids.