Charging Data Analysis and Classification

This study develops a classification model for Electric Vehicles (EVs) using data from EV charging stations. Utilizing a dataset of six charging sessions, a deep learning algorithms, Auto-Encoders, was implemented to classify EVs based on charging time, energy consumption, and charging patterns. The model's effectiveness is assessed through accuracy and precision, offering insights into optimizing EV charging infrastructure and services.