Driving-range-Prediction-and-Energy-Consumption-in-EV-s

Driving range prediction by looking at energy consumption rate of Electronic Vehicles using ML regression techniques.

“ecr_deviation,” which is based on the difference between the energy consumption rate recorded at each trip and the value announced by the manufacturer, which is stated as 16.8 kilowatts per hundred kilometers.

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
.ipynb_checkpoints		.ipynb_checkpoints
input_dataset		input_dataset
1. Data preprocessing pre EDA.ipynb		1. Data preprocessing pre EDA.ipynb
2.EDA.ipynb		2.EDA.ipynb
3.Data preprocessing_final.ipynb		3.Data preprocessing_final.ipynb
4.TrainTestSplit.ipynb		4.TrainTestSplit.ipynb
Electric Vehicles Driving Range and Energy Consumption Investigation A Comparative Study of Machine Learning Techniques - amirkhani2019.pdf		Electric Vehicles Driving Range and Energy Consumption Investigation A Comparative Study of Machine Learning Techniques - amirkhani2019.pdf
Merge_input_datasets.ipynb		Merge_input_datasets.ipynb
README.md		README.md

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