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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…