How to predict future values with LSTM (RNN)?
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Can anyone explain me how to predict future values with LSTM?
I would like to compare the prediction of a NARXNET and a LSTM net, but I can't understand from the matlab examples how to train an LSTM network with one input (11000 value of water demand) and one different output(11000 values of energy consumption). Once I train the net, I should be able to find 500 new values of energy consumption if I give to the net 500 new value of water demand.
Can anyone help me with this issue, please?
Thank you so much
Gaurav Garg on 1 Apr 2021
Since the input dataset and models used by you and examples in MATLAB are different, you are expected to see different results.
Moreover, RMSE results plotted by you are not the way they should be. Kindly look at the following link for more info on RMSE.