MOSAICO G.

PhotoVoltaic (PV) plants can bring a positive impact on the sustainability of electric grids. Its variability and uncertainty, however, leads to challenging technical problems related to the efficient and secure operations of power systems. In this paper, a novel hybrid methodology for the day-ahead PV power forecasting is proposed. The...

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 designed to define the best economic strategy to be followed during operation. Renewable energy generation and users' demand are forecasted by a suitably defined Discrete...

An energy model for non-residential buildings based on state space equations has been developed and experimentally validated. This model can predict with precision the Heating Ventilation and Air Conditioning (HVAC) system energy consumption considering several variables including temperature setpoints, external temperature, humidity, wind...

An energy model for non-residential buildings based on state space equations has been developed and experimentally validated. This model can predict with precision the Heating Ventilation and Air Conditioning (HVAC) system energy consumption considering several variables including temperature setpoints, external temperature, humidity, wind...

The efforts toward a sustainable society require the increasing adoption of Renewable Energy Sources (RESs) at all levels of the power grid. Installation of energy storage systems is a key intervention for managing the new security and environmental needs brought by the RESs volatility. This is especially important for transmission networks...

The use of reversible solid oxide cells within a renewable energy community results a promising application which permits to balance the temporal mismatch between renewable energy production and users' demand through hydrogen as energy vector. Differently from batteries and supercapacitors, this technology is characterized by a high stored...

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Building energy demand accounts for an important part of global energy consumption and emissions. Load forecasting is a crucial functionality for building management systems (BMSs) in order to optimize the energy supply and use with the goal of achieving economic and environmental benefits. Furthermore, if the building is a sports/event venue...

Electric Vehicle (EV) charging coordination is gaining more interest for better integrating EV depots into the electrical grid. Several solutions exist, ranging from rule-based control to, more recently, Reinforcement Learning (RL) techniques. Batch RL approaches are particularly interesting for their ability to use past data for training the...