how to manage the input data to a neural network (time series)
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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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Srivardhan Gadila
2020년 11월 30일
You can refer to the following documentation pages: Choose Neural Network Input-Output Processing Functions, Configure Shallow Neural Network Inputs and Outputs, Shallow Neural Network Time-Series Prediction and Modeling, Maglev Modeling & Modeling and Prediction with NARX and Time-Delay Networks.
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Help Center 및 File Exchange에서 Modeling and Prediction with NARX and Time-Delay Networks에 대해 자세히 알아보기
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