Deep Learning Insights into India's Electric Vehicle Market: A Comparative Approach to EV Sales Forecasting Using Neural Networks

In order to forecast the future of the electric vehicle (EV) market in India, this study investigates the use of deep learning and machine learning approaches, focusing specifically on the two- and three-wheeler categories. Numerous forecasting models, such as neural networks, support vector regression (SVR), and linear regression, are compared in the study. We looked at the time series and regression methods using the EV sales data. We discovered that the Neural Network technique produces superior forecast accuracy after analysing the errors produced by each. Next, we used the best neural network model to forecast the sales of electric vehicles (EVs) in India over the next five years. Sales of two- and three-wheeler electric vehicles (EVs) are expected to rise dramatically in India by 2027. This emphasises how much infrastructure and resources are needed to fulfil the increasing demand and keep up with global EV trends. The purpose of the paper is to act as a crucial resource for those involved in the electric vehicle business and to offer insightful analysis on the future trajectory of EV sales in India.