A hybrid methodology for the day-ahead PV forecasting exploiting a Clear Sky Model or Artificial Neural Networks. - Gabriele Mosaico; Matteo Saviozzi (EUROCON, 2019)

Simplified State Space Building Energy Model and Transfer Learning Based Occupancy Estimation for HVAC Optimal Control. - Gabriele Mosaico; Matteo Saviozzi; Federico Silvestro; Andrea Bagnasco; Andrea Vinci (RTSI, 2019)

An Efficiency-Based Power Management Strategy for an Isolated Microgrid Project. - Francesco Conte; Fabio D'Agostino; Samuele Grillo; Gabriele Mosaico; Federico Silvestro (CoRR, 2022)

Optimal Management of Renewable Generation and Uncertain Demand with Reverse Fuel Cells by Stochastic Model Predictive Control. - Francesco Conte; Gabriele Mosaico; Gianluca Natrella; Matteo Saviozzi; Fiammetta Rita Bianchi (CoRR, 2022)

Warm Start Fitted Q Reinforcement Learning for Electric Vehicle Depot Charging. - Stefano Massucco; Gabriele Mosaico; Matteo Saviozzi; P. Almaleck; M. Santarelli; P. Serra (ISGT EUROPE, 2023)

Two-Stage Stochastic Optimal Energy Management of Microgrids for Participation in Flexibility Markets. - Stefano Massucco; Gabriele Mosaico; Matteo Saviozzi; P. Almaleck; M. Santarelli; P. Serra (ISGT EUROPE, 2024)