3 papers
math.PR2026
Mild Solutions for Path-Dependent Parabolic PDEs with Neumann Boundary Conditions via Generalized BSDEs
Luca Di Persio, Matteo Garbelli, Adrian Zalinescu
We study a system of Forward-Backward Stochastic Differential Equations (FBSDEs) with time-delayed generators. The forward process includes a reflection component expressed via a S…
math.OC2026
Data-Driven Stochastic VRP: Integration of Forecast Duration into Optimization for Utility Workforce Management
Matteo Garbelli
This paper investigates the integration of machine learning forecasts of intervention durations into a stochastic variant of the Capacitated Vehicle Routing Problem with Time Windo…
math.OC2024
Reinforcement Learning for Bidding Strategy Optimization in Day-Ahead Energy Market
Luca Di Persio, Matteo Garbelli, Luca M. Giordano
In a day-ahead market, energy buyers and sellers submit their bids for a particular future time, including the amount of energy they wish to buy or sell and the price they are prep…