Product Features

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Analytics

Statistical Functions

# Statistical Prediction

1min

Statistical Prediction allows you to achieve a predication of value in the future. Fast fourier transform (FFT) is applied to the timeseries signal.

When creating an analytics flow, refer to details about this function processor by reviewing Processor Flow Parameters.

The following information describes this Function:

- 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.
- For
**Frequency Difference**, enter a value to represent the sampling rate of discretization. - For
**Number of Harmonics**, enter a value to represent the number of waves added to the fundamental wave to reach the desired signal. - For
**Number of Predictions**, enter a value to determine how many predictions you want. - 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 polling interval of the subscription tag is assumed to be 1 second.
- For
**Expected Output**: Until the window is filled up, no output is expected. Afterward, the prediction, with the timestamp of prediction will be the output.

Statistical prediction output

Statistical prediction visualization