**3. Results and Discussion**

In this section, comparative results are presented for the three models during training and on the test dataset. The underlying cause of differences in these results was analysed, and modifications were made to the averaging approaches to account for these differences. The ability of the models to predict availability on a vehicle-by-vehicle basis was then assessed, and a metric was developed to identify vehicles that were good candidates for V2G. Results for cumulative, fleet-level prediction were also presented. The section concludes with a detailed discussion.
