This paper proposes the exploitation of simulation techniques to evaluate energy optimization strategies in smart micro-grids. In particular, a container based deployment approach allows for running simulations in the Cloud, evaluating multiple scenarios and optimization algorithms. Here we present both the simulator technology and an original two-phases optimization algorithm that computes a sub-optimal solution in real time. We introduce a simple scenario with real data
AbstractThis work investigates scheduling strategies for charging electric vehicles (EVs) in distrib...
The emerging need of building an efficient Electric Vehicle (EV) charging infrastructure requires th...
Apart from the optimal real-time electricity price to buy the electricity, the optimal, time depende...
The GreenCharge simulator reproduces in a virtual environment the events that occur in a real smart ...
Electric vehicles (EVs) are expanding quickly and widely, and, therefore, EVs can participate in red...
This paper presents a simulation platform for control and monitor the Electric Vehicle charging pro...
Modern society is facing great challenges due to pollution and increased carbon dioxide (CO2) emissi...
Modern society is facing great challenges due to pollution and increased carbon dioxide (CO2) emissi...
Electric Vehicles (EVs) provide new opportunities for the power grid, especially with high penetrat...
Abstract—This paper presents a simulation platform for control and monitor the Electric Vehicle char...
In this paper a model has been developed which intends to simulate the increase of self-consumption ...
Ride-hailing with autonomous electric vehicles and shared autonomous electric vehicle (SAEV) systems...
In this paper a model has been developed which intends to simulate the increase of self-consumption ...
This work investigates scheduling strategies for charging electric vehicles (EVs) in distribution gr...
The rapid development of electric vehicles (EVs) increases the power demand, which causes an extra b...
AbstractThis work investigates scheduling strategies for charging electric vehicles (EVs) in distrib...
The emerging need of building an efficient Electric Vehicle (EV) charging infrastructure requires th...
Apart from the optimal real-time electricity price to buy the electricity, the optimal, time depende...
The GreenCharge simulator reproduces in a virtual environment the events that occur in a real smart ...
Electric vehicles (EVs) are expanding quickly and widely, and, therefore, EVs can participate in red...
This paper presents a simulation platform for control and monitor the Electric Vehicle charging pro...
Modern society is facing great challenges due to pollution and increased carbon dioxide (CO2) emissi...
Modern society is facing great challenges due to pollution and increased carbon dioxide (CO2) emissi...
Electric Vehicles (EVs) provide new opportunities for the power grid, especially with high penetrat...
Abstract—This paper presents a simulation platform for control and monitor the Electric Vehicle char...
In this paper a model has been developed which intends to simulate the increase of self-consumption ...
Ride-hailing with autonomous electric vehicles and shared autonomous electric vehicle (SAEV) systems...
In this paper a model has been developed which intends to simulate the increase of self-consumption ...
This work investigates scheduling strategies for charging electric vehicles (EVs) in distribution gr...
The rapid development of electric vehicles (EVs) increases the power demand, which causes an extra b...
AbstractThis work investigates scheduling strategies for charging electric vehicles (EVs) in distrib...
The emerging need of building an efficient Electric Vehicle (EV) charging infrastructure requires th...
Apart from the optimal real-time electricity price to buy the electricity, the optimal, time depende...