… vehicle k travels directly from node i to j ) and constraints (flow balance, set packing) in
conventional LRP models, we can associate with each vehicle k a … the duration or time windows …

… In addition, this study considers both private and commercial vehicles in predicting EV
charging time. To precisely predict EVs charging time, this study employed four EML algorithms, …

… sector), the investigation into electric vehicle (EV) charging time prediction is almost new. …
predict EV charging time. The study developed an EV charging time prediction model based …

… acknowledge that electric vehicles will restrict driving time and range … vehicles? The specific
issue addressed in this research is to determine if there is a chance that an electric vehicle …

Within the next decade, the number of electric vehicles (EVs) and plug-in hybrid electric
vehicles (PHEVs) will increase exponentially owing to the environmental benefits related to their …

… time and duration of the shifted energy) exploited? Which aspect of flexibility (time and
duration of availability or amount of deferrable energy) is more useful at various times of the day? …

… combustion engine vehicles (ICEVs). Therefore, this paper focuses on electric vehicle routing…
Therefore, to spend less time and charge electric vehicles cheaper, it is better to be present …

… and minimum limits of each time duration (decision) variable … time duration whereas the
rest had a zero time duration. Based on this consideration, the lower limit of each time duration …

… Also it does not include such charging behavior that the normal-charging start time is determined
by the departure time of the next travel day and duration time of fully charged. However, …

… the diffusion of electric vehicles (EVs) as the … Duration and Fix Time to mimic two common
categories of behaviours. The Fix Duration prediction always assumes a fixed plug-in duration …