In this research paper accuracies (percentage errors, MAPE) of different procedures (growth, ARIMA(X), exponential smoothing and deterministic trend models) in forecasting new passenger car registrations in Germany are presented. It is found that the Logistic Growth Model provides rather...

This study proposes a feedforward deep neural network to predict the parameters of the lithium-ion battery in electric vehicles. Correlation analysis is used to select the candidate parameters for the proposed model with no categorical variable. A direct feedforward deep artificial neural...