Statistical Prediction

the statistical prediction processor enables users to project future values based on historical data this is achieved by applying fast fourier transform (fft) to the time series signal, allowing for accurate analysis and prediction statistical prediction overview to achieve a prediction of value in the future, fast fourier transform (fft) is done on the time series signal this fft is then used to de trend the data, generate sine cosine waveform out of the signal, and then the signal is restored to it's best capacity the frequency difference represents the sampling rate of discretization for example, if the window has 10 elements, 1 second frequency difference will generate 10 frequency samples (maximum) 2 seconds will generate 5 samples, and so on usually 1 is good, because it is a time series signal, so you're sampling at every second harmonics represent the number of waves to "add" to the fundamental wave, to reach the desired signal some signals have a huge number of harmonics, for example square waves have theoretically infinite harmonics for the number of harmonics, it is better to start with a lower number and play around with it to see what best fits your needs, rather than just entering a high number due to limitations of working with live data, it is preferable to have a window of data to "observe" and then give a "prediction" for a future time for now, the poling interval of the subscription tag is assumed to be 1 second expected output until the window is filled up, no output is expected afterwards, the prediction , with the timestamp of prediction will be the output statistical prediction parameters true false 182false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type note when creating an analytics flow with statistical prediction processor, refer the use the statistical prediction function docid\ zreqerszzwljk0sbf1tql guide for more details