This workflow forecasts the monthly average sales in 2017 based on monthly average sales between 2014 and 2016 using dynamic deployment. The forecasting model is an ARIMA (0,1,4) model. The forecasted sales values consist of the forecasted residuals and restored seasonality and trend components.
Workflow
02_Forecasting_and_Reconstructing_Time_Series
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 5.1.0
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KNIME AG, Zurich, Switzerland
Version 5.1.0
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KNIME AG, Zurich, Switzerland
Version 5.1.0
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KNIME AG, Zurich, Switzerland
Version 5.1.0
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KNIME AG, Zurich, Switzerland
Version 5.1.0
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KNIME AG, Zurich, Switzerland
Version 5.1.0
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KNIME AG, Zurich, Switzerland
Version 5.1.0
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KNIME AG, Zurich, Switzerland
Version 5.1.0
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KNIME AG, Zurich, Switzerland
Version 5.1.0
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