Precise charging time prediction can effectively mitigate the inconvenience to drivers
induced by inevitable charging behavior throughout trips. Although the effectiveness of the …

Electric vehicles (EVs) are the most important components of smart transportation systems.
Limited driving range, prolonged charging times, and inadequate charging infrastructure are …

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 …

Large-scale deployment of electric vehicles (EVs) poses a huge challenge to the operation
of the distribution network. As a possible mobile energy carrier, the interaction between EVs …

Growing electric mobility makes it difficult for electric vehicles (EVs) to charge adequately
while charging infrastructure capacities are limited. Due to the prolonged charging times …

Short-term prediction of the Electric Vehicle (EV) charging demand is of great importance to
the operation of EV fleets and charging stations. This paper develops a Long Short-Term …

As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are
becoming increasingly popular for their contribution in reducing greenhouse gas emissions …

Electric vehicles (EVs) have emerged as the green energy alternative for conventional
vehicles. While various governments promote EVs, people feel “range anxiety” because of …

With the emerging electric vehicle (EV) and fast charging technologies, EV load forecasting
has become a concern for planners and operators of EV charging stations (CSs). Due to the …

New energy vehicles have become a global transportation development trend in order to
achieve considerable fuel consumption and carbon emission reductions. However, as the …