What kind of changes do Electric Cars bring to the vehicle industry?

The Research questions can be like-

RQ1. The prediction of how the number of Electric vehicles grows (eg. percentage-wise in 2025 or 2030)
RQ2. What kind of changes do Electric Cars bring to the vehicle industry?
RQ3. What value Electric Cars will create in terms of sustainability?

Feel free to modify the topic and the RQs, but the idea should be the same.

The supervisors want to see what kind of analysis I do, or how I collect the data and analyze and what factors I am bringing in analysis.

However, the main part of the thesis will be according to RQ1 like building some prediction /Machine Learning models of how the number of electric vehicles grows. We can predict, for example, 7-8 countries including Sweden, Finland, Norway, Germany, UK, USA, China, Japan, India, etc. (may be some other EU countries or you decide). We have to check information from different countries separately.

We should find monthly data for the mentioned countries. When we look for the data country-wise, there should be some announcement at least regarding monthly registered vehicles. Thus we will retrieve data for several years. For example, for Finland you can probably find by the following-
https://stat.fi/til/merek/tie_en.html

Or you may go with some other authentic sources depending on your reach

We primarily can consider forecasting with Smoothing Methods (Such as- Moving Averages, Weighted Moving Averages and Exponential Smoothing) and then we can do some machine learning models (several ways depending on the problems we want to solve based on theory part. For this, we will use Python programming in jupyter notebook and libraries will be used such as- numpy, pandas, matpolotlib, seaborn, regression methods, Nave Bayes (NB) Classifier, Neural Networks, Support Vector, Regression trees, Random Forest, K-fold cross validation, Scikit-learn, Keras, as I have knowledge about these. Basically, this will depend what kind of problems we encounter to solve in the literature review part.

The deliverables will be the thesis, all the raw data and the jupyter notebook file. Every step should be well-discussed with me so that I can understand well and describe them to my supervisors, opponents, and fellow students.

We can cover also how the impact of that increases. RQ2 and RQ3 are mainly theory based and need deeper discussion, I guess. Feel free to decorate, I must get grade 5. You have the full control over it.

For example, we can do the literature review by using articles on sustainability aspects of EV and the impact of an increasing number of them. Then a prediction model could be built.

The supervisors said that it should be connected to sustainability. For this, first we could have a literature review based on the articles discussing sustainability aspects of electric vehicles, and the impact of increasing number of them. For example, we could look for any article that discusses the impact of electric vehicles.

For thesis structure you can follow the followings-

https://lutpub.lut.fi/bitstream/handle/10024/160081/Thesis_Oskar_stucki.pdf?sequence=1&isAllowed=y

https://www.doria.fi/bitstream/handle/10024/181549/valtanen_jerry.pdf?sequence=2&isAllowed=y

You feel free to modify or decide on the structure. All I that I need is the grade!!!

Deadline: I would like to complete the thesis by June-July. I am not in hurry though. If I get it done well in advance, I can prepare myself better and modify it if I feel like according to my understanding- eg. Double checking the data, programming, and the text.

But I must get at least 5-6 pages of text by the end of April. I have to meet a deadline for language check. We can do the whole task phase by phase. Later on I will need also some more texts for language check. Please, let me know if you need any further information

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