so my problem is as follows:
I am trying to interpolate the hourly data points between daily measurement data of the wind speed.
I do have the hourly wind speed from 46000 measurement points for one year to use for training,validation etc.
So essentially what I am trying to do is get 24 data points from my neural network and together they should have the same mean as the "real" data.
Since I am beginner concercong neural networks I am not sure how to begin.
Would you say that it is a fitting problem or more of a time series problem?
I am thankful for your help and for all suggestions!
Right now I am using the neural network Matlab Toolbox.