With the increasing penetration rate of electric vehicles, the fast charging demands of
electric vehicles will have a significant influence on the operation of coupled power …

This paper presents multi-agents based optimal energy scheduling technique at microgrid
level, aiming to minimize overall costs allied with the domestic energy consumption and …

Present grid infrastructure is unprepared for the wide-scale integration of electric vehicles
(EVs). Real-time grid simulation and hardware testing are necessary for the fast and …

The rising demand for electric vehicles (EVs) in the face of limited grid capacity encourages
the development and implementation of smart charging (SC) algorithms. Experimental …

In the development of a range-extended electric vehicle, it is necessary to determine the
control strategy of the range extender (REX) and evaluate the influence of its performance …

This research provides a comprehensive literature overview and bibliometric evaluation of
multi-agent system (MAS) implementation in energy demand response (DR) to identify gaps …

In this work, energy management of home customers with electric vehicles and renewable
resources is modelled in the form of multi-agent systems. The agent decisions affect the …

Multiagent reinforcement learning (MARL) has been widely applied in engineering
problems. However, many strictly constrained problems such as distributed optimization in …

In this work energy management of home customers with electric vehicles and renewable
resources is modeled in the form of multi-agent systems. Since the agent decisions are …

Given growing urban populations, it is clear we need to change our behaviour to better
manage the sharing of increasingly constrained urban resources, such as the road network …