Special Session 1

SPECIAL SESSION #1

Simone Mari

Department of Industrial and Information Engineering and Economics, University of L'Aquila

• simone.mari@univaq.it

Andrea Fioravanti

Department of Industrial and Information Engineering and Economics, University of L'Aquila

• andrea.fioravanti@univaq.it

The rapid evolution of smart grids is transforming the way energy is generated, distributed, and consumed. Advanced measurement and monitoring systems, combined with artificial intelligence (AI) and data-driven analytics, are playing a crucial role in optimizing grid performance, enhancing resilience, and enabling the seamless integration of renewable energy sources.

This special session aims to bring together researchers, industry professionals, and practitioners working on state-of-the-art technologies for smart grids. Emphasis will be placed on AI-powered measurement techniques, real-time monitoring, and intelligent control strategies that contribute to the efficiency and sustainability of modern power networks. Additionally, the role of Non-Intrusive Load Monitoring (NILM) will be considered in the context of smart grids, particularly in improving demand-side management and enabling finer-grained energy consumption analysis.

Topics of interest include, but are not limited to:

• AI-based measurement and monitoring techniques for smart grids
• Grid resilience and reliability through advanced data analytics
• Real-time energy management and demand response strategies
• Integration of renewable energy sources and storage systems
• Edge computing and embedded system solutions for grid applications
• AI-driven fault detection, anomaly detection, and predictive maintenance
• NILM techniques for industrial and residential energy monitoring
• Case studies and practical implementations of smart grid technologies

The session will provide a platform for discussions on cutting-edge methodologies, emerging challenges, and future directions in smart grid technologies, fostering collaboration between academia and industry.

Simone Mari, (Member, IEEE) earned his B.S., M.S., and Ph.D. degrees in electrical engineering from the University of L'Aquila, Italy, in 2017, 2019, and 2023, respectively, with honors. He presently serves as a Research Fellow in electrical and electronic measurements at the University of L'Aquila. His research primarily focuses on non-intrusive load monitoring, predictive maintenance systems utilizing artificial intelligence, automated measurement systems, and power measurements.

Andrea Fioravanti, (Member, IEEE) received the master’s degrees in electrical engineering and Ph.D. degree in electrical and information engineering from the University of L’Aquila, L’Aquila, Italy, respectively, in 2016 and 2021. He is currently Research Fellow and professor of electrical power systems at the Department of Industrial and Information Engineering and Economics, University of L’Aquila. His research interests are focused on the resilience of electrical power systems.