Electric vehicle (EV) has been popularized and promoted on a large scale because of its
clean and efficient features. Charging this increasing number of EVs is expected to have an …

The expansion of the battery electric vehicle (BEV) market requires considerable changes in
the supply of electricity to fulfill the charging demand. To this end, understanding the spatio …

The accurate prediction of electric vehicles (EVs) load is the research basis for evaluating
the impact of EVs on the power grid and optimizing the operation of the power grid …

The transport sector is a prominent source of increasing fuel consumption and greenhouse
gas (GHG) emissions. Electric vehicle (EV) is deemed an appealing solution for those …

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 …

Traffic prediction with high accuracy has significance towards traffic facilities scheduling,
adaptive traffic control logic, even the urban economic development. EV charging station …

Accurate real-time energy consumption prediction of electric buses (EBs) is essential for bus
operation and management, which can effectively mitigate the driving range anxiety while …

Residential electric vehicle (REV) is an advanced technology with a rapid growth rate in
transportation and electric grids. One key challenge in the operation of REVs is the necessity …

The development and popularization of electric vehicles (EVs) is of great significance to
environmental protection, energy saving and emission reduction. With the wide …

The adoption of electric vehicles (EV) has to be complemented with the right charging
infrastructure roll-out. This infrastructure is already in place in many cities throughout the …