Hi,
If we need to verify the internal calculations done by Dataminer when determining the smart baseline value for a given parameter, specially for the option 'daily pattern deviation', what do we need to do?
The Help states that with the averaged 15-minutes trend points, a polynomial regression is applied. What is the polynomial degree? Applied to which points exactly? When is then the smart baseline read from the polynomial function?
Would it be possible to describe the complete algorithm so we can compute the expected values ourselves having as an input just the trending values of the respective parameter?
Thanks in advance.
Please look at the 2 examples below, the dark-blue line is the parameter that has the smart baseline active with the daily pattern option, 7 days window and the light-blue is the smart baseline calculated by Dataminer:
In the 1st, we can clearly identify a daily pattern which is not reflected on the calculated smart baseline.
The 2nd, even though is more difficult to identify a daily pattern, it is still there: at the evening and during the night, the parameter has higher values than during the daylight. The smart baseline could never be the one calculated.
What am I missing here?
This is release 10.1.0 CU6.