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how to manage the input data to a neural network (time series)

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Giuseppe D'Amico
Giuseppe D'Amico on 23 Nov 2020
Answered: Srivardhan Gadila on 30 Nov 2020
Hi everyone, I'm using the machine learning and deep learning toolbox to train neural networks for predicting time series.
At the input I have a historical power series (active power values) and a series of columns relating to day, month, hour and days of the week.
How should I handle this incoming data? Do I need to normalize it somehow? My output goal is the prediction of reactive power. I am currently using the "non linear input-output" of the Neural Net Time series.
An infinite thanks to those who can give me information about it.

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