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Enabling Decentralized Energy Systems Using AI

SAIConference via YouTube

Overview

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Explore how artificial intelligence is revolutionizing decentralized energy systems in this comprehensive keynote presentation by Dr. Valentin Robu from CWI and TU Eindhoven at the Intelligent Systems Conference 2025. Discover the transformation from centralized to decentralized energy networks and understand the emerging role of prosumers, electric vehicles, and distributed energy resources in modern power systems. Learn about the critical challenges facing contemporary energy infrastructure, including intermittent renewable generation, grid congestion, demand-side response management, and the integration of power-intensive AI workloads. Examine how multi-agent systems and algorithmic game theory provide scalable, intelligent solutions for optimizing EV charging and routing to minimize grid stress and reduce queuing times. Understand the formation of virtual power plants and peer-to-peer energy trading mechanisms within local communities. Analyze incentive design strategies that ensure truthful participation and maintain system stability across decentralized networks. Review real-world case studies and trials from the Netherlands and the UK that demonstrate up to 95% optimal allocation efficiency in EV charging schedules. Gain insights into modeling large-scale, decentralized energy systems using AI while ensuring fairness, efficiency, and sustainability. Master the interdisciplinary approaches that combine computer science, electrical engineering, economics, and social sciences to create resilient, decentralized energy networks for the future.

Syllabus

Enabling Decentralized Energy Systems Using AI | Valentin Robu, CWI & TUE | IntelliSys2025

Taught by

SAIConference

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