The global energy sector is undergoing a paradigm shift toward decentralized, intelligent, and sustainable systems. Decentralized Energy Systems, including microgrids, renewable-based generation, peer-to-peer energy trading, and community energy networks, require real-time monitoring, adaptive control, and efficient decision-making. Traditional centralized approaches face challenges such as latency, scalability, reliability, and cybersecurity. Recent advances in Edge Artificial Intelligence (Edge AI) and Internet of Things (IoT) technologies open new avenues to enhance the efficiency, resilience, and autonomy of decentralized energy systems. Edge AI enables localized, real-time intelligence, while IoT ensures seamless connectivity and interoperability across heterogeneous devices. Together, they can drive applications such as predictive maintenance, energy forecasting, load balancing, fault detection, and intelligent energy management. In addition, the integration of Power Electronics and Electric Vehicle (EV) technologies within this framework is becoming increasingly vital. Edge AI and IoT can transform the way power converters, EV charging infrastructures, and energy storage systems are monitored and controlled, enabling faster decision-making, improved efficiency, and secure, adaptive operation. This convergence is key to advancing smart grids, microgrids, bidirectional EV charging, and renewable-rich energy ecosystems. This special session aims to bring together researchers, practitioners, and industry experts to present novel approaches, architectures, and applications that leverage Edge AI, IoT, and power electronics in the context of decentralized and distributed energy systems, with a strong focus on EV integration and e-mobility.
The original contributions, from different perspectives, including Ph.D Students , PG & UG Students, Academicians, researchers,and professional communities are invited under (but not limtied to) under the following topics :