Federico Rossi of Politecnico di Milano

Artificial Intelligence in Power Systems and Electric Mobility

Artificial intelligence (AI) and machine learning are often used
interchangeably, but machine learning (ML) is a subset of the
broader category of AI.
AI refers to the general ability of computers to emulate human thought
and perform tasks in real-world environments, while ML refers to the
technologies and algorithms that enable systems to identify patterns,
make decisions, and improve themselves through experience and data.

Biography:

Federico Rossi (Graduate Student Member, IEEE) was born in Udine, Italy, in March 1997. He received the B.S. degree in energy engineering from the Università degli Studi di Padova, in 2019, and the M.S. degree in electrical engineering from Politecnico di Milano, in 2022. He is currently pursuing the Ph.D. degree in electrical engineering at Politecnico di Milano. His research interests include the modeling of electrical power systems, digital twins, smart grids, and storage systems. Recently, his research has focused on reinforcement learning and optimization algorithms applied to power systems and electric mobility. He was a visiting PhD at Chalmers University of Technology, where he developed a machine learning based model for the efficient scheduling of electric vehicles charging and discharging in a vehicle-to-grid (V2G) context. Additionally, he was a visiting researcher at Polytechnique Montréal, where he developed a reinforcement learning algorithm for solving the optimal power flow problem.

Address:Milan, Italy