This workflow predicts time series (energy consumption) by an LSTM network with lagged values as input. The trained model is then used for out-of-sample forecasting. The forecasted values are compared to the actual signal values, and the performance of the forecast is reported via scoring metrics and a line plot.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.4.1
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