Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers حسب Mostafa Shibl (18810412)

"…LSTM provided the best results with an accuracy of 95% for predicting the most appropriate power rating (PR) for EVCS, followed by RF, DT, DNN, SVM, KNN, and NB. Additionally, LSTM was also the model with the smallest error rate, at a value of ±0.7%, followed by RF, DT, KNN, SVM, DNN, and NB. …"