I have a question regarding data sets and how to make a decision about detrending data or removing the mean. These two options can be used in the identfication toolbox and I wonder for which cases you might use these options?
For example I have a big data set on temperature values of a heat process in the industry and I want to identify a model against validation data.
Would it be a good choice to detrend the data? I tried a few times, but all the models slightly worse, most of the time.