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Performance Analysis of ML Techniques in EV Sales – A Study

Publication Type : Conference Paper

Publisher : IEEE

Source : 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1045-1049, doi: 10.1109/ICACCS60874.2024.10717024.

Url : https://ieeexplore.ieee.org/document/10717024

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2024

Abstract : Electric vehicles have become the trend for a sustainable and green environment. EV sales have been increasing across the world in recent years. Suitable models for EV sales prediction are required. EV sales also predict the load on the electric grid system, which is very useful nowadays. The number of cars on the road has increased and helps predict traffic in a particular region. Different Machine Learning models have been used for EV sales, and their accuracy and other performance parameters are noted for the EV sales predictions [8]. A study has been done here to find the best-fit model for EV sales application so that the effectiveness of Machine Learning model prediction can be utilized for economical growth of EV Industry.

Cite this Research Publication : R. S. Krishna, K. Deepa and S. V. T. Sangeetha, "Performance Analysis of ML Techniques in EV Sales - A Study," 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1045-1049, doi: 10.1109/ICACCS60874.2024.10717024.

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