Automotive Market Trend Prediction and Adoption of EV Technologies

Mohandas, Arun Das (2024) Automotive Market Trend Prediction and Adoption of EV Technologies. Masters thesis, Dublin, National College of Ireland.

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Abstract

The research extensively studies the trends in the automobile industry in past decades and its shift toward electric vehicle technologies. It will unravel insights about how the automobile market is adapting to the change of the introduction of EVs. It will discuss Electric Vehicles, and plug-in Hybrids, and compare their sales growth with that of traditional non-electric vehicles. The research will gather sales figures for these automotive technologies from different automotive brands and will analyze the figures to build an understanding of where the market is heading. The research will also look into consumer acceptance of the new technologies, the environmental impact, and the market sustainability to understand the change in customer perception. To reach there we will delve into previous studies on the industries and extract, compare, and contrast on the topic to develop a better understanding of the subject. The key task that will be performed here will be employing methodologies of deep learning on time series datasets gathered from the automobile industries to understand the direction in which the market is heading, i.e., if the market is adopting Electric vehicles over plug-in hybrid vehicles and fuel engine vehicles. By doing this the automobile industry will have a viable long-term plan and course of action to follow and lead in the current competitive automotive market.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Rifai, Hicham UNSPECIFIED
Uncontrolled Keywords:	EV Adoption; Electric Vehicles; Hybrids Electric Vehicles; Machine Learning; Time series Analysis Prediction; Deep Learning
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HE Transportation and Communications > Urban Transportation
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	03 Sep 2025 14:19
Last Modified:	03 Sep 2025 14:19
URI:	https://norma.ncirl.ie/id/eprint/8751

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