[Discussion] Confusion around Multi-Step and Multivariate LSTM Time Series Forecasting
Hi everyone, I’m currently trying to develop an LSTM RNN for predicting train delays. I looked into Time Series Forecasting Models and different approaches but can’t seem to figure out which model to use.
I want to implement multiple features, like delay, train number, date, time and current weekday. The output of the model should be a delay in minutes.
I have trouble understanding the difference between Multistep, Multivariate and Multistep-Multivariate Time Series Forecasting.
Can somebody please elaborate?