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.