Life on this planet is affected by burning fossil fuels like diesel, CO2, and gasoline, and a clean environment is necessary for survival. In recent years, various studies have been conducted to maintain a clean environment and mitigate pollution’s consequences because a clean environment is crucial for preserving this planet’s natural resources. Research indicates Electrical Vehicles (EVs) are environmentally friendly, emitting less greenhouse gases and air pollution. The increasing demand for EVs and their charging is causing voltage problems in energy supply systems. Smart meters can be used to record the energy usage of appliances like ovens and for charging Electrical vehicles. This study uses the Tabnet, Xtreme Gradient Boosting (XGB), and Random Forest model for the Electrical Vehicle event classification. The experimental results show that the RF model has higher accuracy than the other learning models