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Exercise 3: SARIMA Models

Time Series Energy Usage Education Prediction SARIMA

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This workflow predicts the residual of time series (energy consumption) by seasonal autoregressive integrated moving average (SARIMA) models that aim at modeling the correlation between lagged values and controling for seasonality in time series.

External resources

  • Slides on the KNIME Website

Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Expressions Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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