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Optimizing electric vehicle charging infrastructure in India involves the use of machine learning techniques to determine the proper placement of EV stations. By analyzing current and future demand for EV vehicles in a particular region, the solution provides a blueprint for the installation of charging stations. Users can easily access the website to locate the nearest EV stations in their vicinity, thus addressing the need for easy accessibility. Project Phoenix focuses on three key factors while providing the solution: the current and projected demand for EV vehicles, the geographic distribution of potential EV users, and the existing infrastructure for electric vehicle charging. By considering these factors, our solution aims to optimize the deployment of rising EV charging infrastructure and handling it to meet the rising demand for electric vehicles in India. To meet the increasing demand for electric vehicles in India, an extensive charging infrastructure is necessary. Our solution offers a framework for the optimal positioning of EV stations to be established in a specific area by assessing the present and anticipated demand for EV vehicles. People can easily access the website and can look for the nearest EV stations near them. The minimum distance the user must traverse to reach the EV charging station. Expense associated with the installation of electric vehicle charging stations. Enhanced forecasting of future requirements for electric vehicle charging stations across an area. These factors enhance the feasibility of our solution while addressing all needs from both the user and supplier perspectives. This problem statement emphasizes the use of machine learning techniques to address the specific challenge of optimizing the deployment of EV charging infrastructure in the Indian context. It highlights the need to develop a framework that can analyze diverse datasets, identify key factors influencing infrastructure deployment, and generate optimized deployment strategies to support the growth of electric mobility in India.

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Developing a Machine Learning Framework for Optimizing Electric Vehicle Charging Infrastructure Deployment in India

  • 会议论文

  • 发表日期：

    2025年

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  • Sudesh Pahal,
  • Neetu Sehrawat,
  • Vibhor Joshi,
  • Pranshu,
  • Pranava Kumar Mishra

摘要

Optimizing electric vehicle charging infrastructure in India involves the use of machine learning techniques to determine the proper placement of EV stations. By analyzing current and future demand for EV vehicles in a particular region, the solution provides a blueprint for the installation of charging stations. Users can easily access the website to locate the nearest EV stations in their vicinity, thus addressing the need for easy accessibility. Project Phoenix focuses on three key factors while providing the solution: the current and projected demand for EV vehicles, the geographic distribution of potential EV users, and the existing infrastructure for electric vehicle charging. By considering these factors, our solution aims to optimize the deployment of rising EV charging infrastructure and handling it to meet the rising demand for electric vehicles in India. To meet the increasing demand for electric vehicles in India, an extensive charging infrastructure is necessary. Our solution offers a framework for the optimal positioning of EV stations to be established in a specific area by assessing the present and anticipated demand for EV vehicles. People can easily access the website and can look for the nearest EV stations near them. The minimum distance the user must traverse to reach the EV charging station. Expense associated with the installation of electric vehicle charging stations. Enhanced forecasting of future requirements for electric vehicle charging stations across an area. These factors enhance the feasibility of our solution while addressing all needs from both the user and supplier perspectives. This problem statement emphasizes the use of machine learning techniques to address the specific challenge of optimizing the deployment of EV charging infrastructure in the Indian context. It highlights the need to develop a framework that can analyze diverse datasets, identify key factors influencing infrastructure deployment, and generate optimized deployment strategies to support the growth of electric mobility in India.