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Restore Seasonality and Trend

This component restores seasonality (1st and 2nd) and trend into the forecasted residual series. The trend model, the seasonal components, and the lags where the seasonal peaks occur have been obtained in preprocessing the time series before training the forecasting model.

Options

Forecasted residuals
Select the column containg the forecasted residual series. The trend and residuals are restored into this column.

Input Ports

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Trend model as PMML
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Data containing columns for seasonal components. These were obtained in decomposing the time series training data.
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Forecasted residual series

Output Ports

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Forecasted signal values where the trend and seasonality components have been restored to the forecasted residuals

Nodes

Extensions

Links

Download

To use this component in KNIME, download it from the below URL and open it in KNIME:

Download Component
On NodePit since: 2021-12-31
Last update: 2026-01-13
Created with KNIME version: v4.5.0

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