Travel pattern of an electric vehicle (EV) user and the accuracy of their probability
distribution models are the key factors affecting the simulation and prediction of EV charging …

The mass adoption of Electric Vehicles (EVs) might raise pressure on the power system,
especially during peak hours. Therefore, there is a need for delayed charging. However, to …

The uptake of electric vehicles (EV) is increasing every year and will eventually replace the
traditional transport system in the near future. This imminent increase is urging stakeholders …

The accurate estimation and prediction of charging demand play an essential role in
charging infrastructure planning, power grid laying and efficient operations. In this paper …

More and more adoptions of electric vehicles (EVs) would bring a potential threat on the
existing electric grid. In this context, a systematic methodology is presented in this paper to …

With the rapid development of electric vehicles (EVs), EV charging load simulation is of
significance to tackle the challenges for planning and operating a highly-penetrated power …

The increasing adoption of electric vehicles (EVs) due to technical advancements and
environmental concerns requires wide deployment of public charging stations (CSs). In …

Plug-in electric vehicles (PEVs) are widely considered as a sustainable mode of transport by
countries worldwide due to high efficiency and low or zero carbon emissions. However …

With recent changes in the availability and diversity of plug-in electric vehicles (PEVs) in the
United States, there is increasing research interest in the interaction between PEVs and the …

This research investigates electric vehicle (EV) charging behavior and aims to find the best
method for its prediction in order to optimize the EV charging schedule. This paper …