BIO
My name is Enrico Brambilla, I am from Lonato del Garda (BS) and was born in 2000. I completed both my Bachelor’s and Master’s degrees in Computer Engineering at the University of Brescia. I obtained my Master’s degree in 2024, and for my thesis, I focused on the implementation of a primal heuristic for binary optimization problems in operations research, combining traditional MILP solvers with Neural Networks.
RESEARCH FIELD
My research focuses on optimizing the integration of Battery Energy Storage Systems (BESS) into renewable energy markets, with an emphasis on enhancing the efficiency and economic viability of these systems. As renewable energy sources like solar and wind become increasingly prevalent, the intermittency of their supply creates challenges in balancing electricity grids. By combining advanced optimization techniques, specifically Mixed-Integer Linear Programming (MILP), with Machine Learning (ML), my work aims to develop predictive models and algorithms that can optimize battery charging cycles, stabilize the grid, and improve market operations. This approach not only has significant economic benefits but is also environmentally relevant, as it supports the broader transition to sustainable energy by maximizing the use of renewable sources and reducing reliance on fossil fuels. The goal is to create a scalable, hybrid methodology to address real-time decision-making in the dynamic energy market.
INFO AND CONTACTS
Tutor: Prof.ssa Renata Mansini
Email: enrico.brambilla@unibs.it