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EV Vehicle Charge Demand Forecasting

Project Overview

This project predicts Electric Vehicle (EV) charging demand using Machine Learning techniques. The model analyzes historical EV data and forecasts future charging requirements.

Features

  • EV demand forecasting
  • Data preprocessing
  • Machine Learning model training
  • Future demand prediction
  • Data visualization

Technologies Used

  • Python
  • Pandas
  • NumPy
  • Scikit-Learn
  • Jupyter Notebook

Dataset

The project uses Electric Vehicle population and charging-related datasets for training and prediction.

Files Included

  • EV_Adoption_Forecasting.ipynb
  • web.py
  • Electric_Vehicle_Population_By_County.csv
  • forecasting_ev_model.pkl

Applications

  • EV charging station planning
  • Energy demand forecasting
  • Smart city infrastructure planning

##🚀 Live Demo: https://ev-forecast-dashboard.streamlit.app

Author

Jeevanantham S

About

Machine Learning based EV Vehicle Charge Demand Forecasting using Python

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