This study uses an analytical approach to determine the ideal density of EV charging stations in India. Using time series analysis, we project EV adoption in India from 2025 to 2030, taking into account government regulations, technology improvements, and customer preferences. Based on these forecasts, using optimization, we calculate the appropriate charging infrastructure capacity, including the number of charging points and connections needed to fulfil the charging demands of the rising EV fleet. Furthermore, using optimization techniques, our analysis predicts the minimum number of electric charging stations state-wise to accommodate the demand for electric vehicles. The findings of this study are intended to provide valuable guidance for policymakers, industry stakeholders, and researchers interested in facilitating the smooth and sustainable development of an efficient and reliable charging plan that ensures the successful completion of journeys while taking into account electric vehicles’ limited range and charging requirements.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Demand of Charging Stations for EVs: An Optimized Solution Through Machine Learning Algorithms

  • Leena Sharma,
  • Nishi Gupta

摘要

This study uses an analytical approach to determine the ideal density of EV charging stations in India. Using time series analysis, we project EV adoption in India from 2025 to 2030, taking into account government regulations, technology improvements, and customer preferences. Based on these forecasts, using optimization, we calculate the appropriate charging infrastructure capacity, including the number of charging points and connections needed to fulfil the charging demands of the rising EV fleet. Furthermore, using optimization techniques, our analysis predicts the minimum number of electric charging stations state-wise to accommodate the demand for electric vehicles. The findings of this study are intended to provide valuable guidance for policymakers, industry stakeholders, and researchers interested in facilitating the smooth and sustainable development of an efficient and reliable charging plan that ensures the successful completion of journeys while taking into account electric vehicles’ limited range and charging requirements.