most citedOptimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control

18 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2023

Day-Ahead Programming of Energy Communities Participating in Pay-as-Bid Service Markets

F. Conte, S. Massucco, G. Natrella +2

This paper proposes an optimal strategy for a Renewable Energy Community participating in the Italian pay-as-bid ancillary service market. The community is composed by a group of r…

cs.LG2023★ 3 cited

MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting

Matteo Tortora, Francesco Conte, Gianluca Natrella +1

Accurate forecasting of renewable generation is crucial to facilitate the integration of Renewable Energy Sources into the power system. Focusing on photovoltaic (PV) units, foreca…

eess.SY2022★ 6 cited

Methods and Tools for the Management of Renewable Energy Communities: the ComER project

Anna Rita Di Fazio, Arturo Losi, Mario Russo +5

Renewable Energy Communities (RECs) have been officially introduced into the European legislation through the Clean Energy for all Europeans package. A REC is defined as an associa…

math.OC2022★ 4 cited

Optimal Management of Renewable Generation and Uncertain Demand with Reverse Fuel Cells by Stochastic Model Predictive Control

Francesco Conte, Gabriele Mosaico, Gianluca Natrella +2

This paper proposes a control strategy for a Reverse Fuel Cell used to manage a Renewable Energy Community. A two-stage scenario-based Model Predictive Control algorithm is designe…

eess.SY2022★ 18 cited

Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control

Francesco Conte, Fabio D'Agostino, Daniele Kaza +3

The paper proposes an optimal management strategy for a Smart Port equipped with renewable generation and composed by an electrified quay, operating Cold-Ironing, and a Hydrogen-ba…