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I am trying to forecast a dynamic number of steps ahead depends on the user input. I tried to use a for loop but the error is increasing as the number of steps increase. I want to forecast up to 48 time steps only and I used a few LSTM layers along with TensorFlow.

My data is univariate (one column for date and the other for temperature).

Any idea on how can I forecast many steps ahead where they depend on each other without increasing the error?

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  • $\begingroup$ I'd add more information here about your data, otherwise it will be difficult for people to answer this question. $\endgroup$
    – Shawn Hemelstrand
    Feb 20 at 8:41

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