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  • 01_TSA_with_LSTM_Network_Training
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Energy Demand Prediction with LSTM - Training

Time Series Prediction Energy Usage LSTM Deep Learning
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This workflow trains and applies an LSTM network to predict energy demand using lagged values of a time series as input. In the Evaluation and Predictions part the trained model is then used for in-sample and out-of-sample forecasting. The forecasted values are compared to the actual values, and the performance of the forecast is reported via scoring metrics and a line plot.

External resources

  • "Once Upon A Time..." by LSTM Network

Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.3
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

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    KNIME Deep Learning - Keras Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.1

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    KNIME Deep Learning - TensorFlow Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

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    KNIME Plotly Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.2

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