Sourav Kumar Bhoi
Dept. of Computer Science and Engineering, Parala Maharaja Engineering College, Berhampur – 761 003, (Odisha)
Sourav Kumar Bhoi
Dept. of Computer Science and Engineering, Parala Maharaja Engineering College, Berhampur – 761 003, (Odisha)
Chittaranjan Mallick
Dept. of Basic Science (Mathematics), Parala Maharaja Engineering College, Berhampur – 761 003, (Odisha)
Jnanaranjan Mohanty
Dept. of Humanities and Social Sciences (Economics), Parala Maharaja Engineering College, Berhampur -7 61 003, (Odisha)
Abstract
With the rising use of Electric Vehicles (EV) over the society, the living standard of the people is more cost effective. As the cost of living is reduced due to less usage of diesel and petrol vehicles the expenditure in needs of the people are more saved. In this work, impact of usage of EV on cost efficient living style is studied using AI based approach. The models used for analysis are supervised ML models. A synthetic dataset with 1000 rows and 9 attributes is designed by considering a scenario on usage of EVby families. Finally, the analysis is performed using Orange data analysis tool to show the accuracy of the models in predicting the impact of usage of EVon cost efficient living as High or Low. From, the result it is found that almost all 8 supervised ML models shows an accuracy of nearly 100% in identifying the impact.
Keywords- Electric Vehicle, Petrol vehicle, Cost Efficient Living, Machine Learning, Accuracy