… Short-term demand prediction … demand prediction refers to monthly or yearly forecast of
the charging stations within the entire region. The main purpose of long-term demand prediction …

… electric vehicle infrastructures (EVIs) are considered, we propose a lightweight authentication
FL-based energy demand prediction … accurate electricity demand prediction framework to …

… solutions to support the diffusion of electric vehicles (EVs). In … can improve the experience of
electric vehicle users by providing … energy demand prediction problem for an electric vehicle. …

… prediction methods can no longer meet the demand for reasonable and accurate scheduling
of the power grid in terms of prediction … of researches on EV charging demand prediction. …

… The uptake of electric vehicles (EVs) has seen remarkable acceleration worldwide in recent
… the foundation for accurate charging demand prediction and for enabling smart charging by …

… electric vehicles instead of conventional vehicles [3]. Many apparent difficulties impede the
widespread adoption of electric vehicles, … and associated Electric Vehicle Supply Equipment (…

… whether exogenous variables contribute to prediction accuracy. Some researchers believe
that a longer data history is more helpful in the modeling and prediction of future values. This …

… on the calibration of the driving range prediction [3]. A central challenge in this context is
the prediction of future energy demand. The energy demand prediction (EDP) is not only used …

… power system in electric vehicles. In this paper, a vehicle speed prediction model predictive
control (… Then the vehicle power demand prediction sequence can be formulated through the …

… This paper performs a novel data-driven approach to optimize electric vehicle (EV) public …
Four prevailing methods from existing studies on public charging demand prediction are …