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[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?

submitted by /u/boneless_baku
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.