Matteo Fresia
Papers
2
Total Citations
7
H-Index
2
About
Matteo Fresia is an emerging researcher whose work sits at the intersection of smart energy systems, autonomous robotics, and sustainable infrastructure. His research focuses primarily on energy management systems (EMS) for nanogrids — small-scale, localized power networks integrated within buildings and research facilities — with a particular emphasis on optimizing the interplay between renewable energy sources, battery storage, and intelligent robotic systems. Fresia's most notable contributions involve the development of mixed-integer linear programming (MILP) optimization models designed to intelligently coordinate energy consumption and generation. His 2024 paper on a smart green nanogrid feeding a research laboratory, which incorporates autonomous mobile robots as flexible energy-consuming agents, represents a pioneering step in merging robotics scheduling with energy optimization — an area of growing relevance in Industry 4.0 contexts. His complementary work on the CN MOST Laboratory at the University of Genova's Savona Campus demonstrates a commitment to real-world implementation, supported by Italy's National Center for Sustainable Mobility funding. Although early in his career, with his leading papers accumulating citations within their publication year, Fresia's research addresses highly timely challenges in decarbonization and smart campus infrastructure, positioning him as a promising voice in sustainable energy management research.
Research Focus
Key Achievements
Top Papers
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