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 …

Reliable smart charging requires forecasting the charging behavior of EVs. Deep learning
algorithms could present a solution. However, deep neural networks (DNNs) require a large …

Short-term load forecasting is an important issue in energy management system and a key
measure to maintain the stable and effective operation of power systems, providing …

The increasing penetration rate of electric vehicles, associated with a growing charging
demand, could induce a negative impact on the electric grid, such as higher peak power …

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 …

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 …

Electric vehicles (EVs) are inducing revolutionary developments to the transportation and
power sectors. Their innumerable benefits are forcing nations to adopt this sustainable …

Short-term load forecasting is a key task to maintain the stable and effective operation of
power systems, providing reasonable future load curve feeding to the unit commitment and …

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 …

Electric Vehicles (EVs) and corresponding charging stations have been widely popularized,
increasing the power grid's operational risk and pressure, especially for the distribution …