Increase in electric vehicles, demands proper management of electric supply to increasing numbers of charging stations.
Python 33.02%Jupyter Notebook 66.98%
evchargingprediction's Introduction
Short-term forecasting is an important issue in the power management system and the main key measure sustainable and efficient operation of energy systems.
various models of machine learning and deep learning are used for predicting the requirement ofelectrical energy at the stations by applying different methods to forecast demand of energy at a particular station.
These models are impemented in python.
Libraries used : Keras based on tensorflow, sci-kit, numpy, pandas, matplotlib.
Data Attached in this project was taken from Caltech Dataset."https://ev.caltech.edu/dataset".
Colab link : https://colab.research.google.com/drive/15Lx1puwm23RJoxsqEiM0tmKO8ITyLUtX
Full College Report is also added for more references .