After investigating the predictive capabilities of models trained on data with tripspecific and human behavioral features, we further explored the potential of these models for early charge usage score predictions. To achieve this, the same features described earlier were extracted from two distinct time intervals -a) 300-350 seconds (early prediction 1) and b) 300-650 seconds (early prediction 2). Figure illustrates these two time segments for both velocity and current data, alongside the velocity curve. The first 300 seconds were excluded from the training process, as they correspond to the initialization phase of an EV (see Methods). This exclusion was adopted in the previous modeling phase as well.