This workflow shows the seasonality of time series (energy consumption) in an autocorrelation plot. The seasonality is removed by differencing the time series at the lag where the maximum peak is detected in the autocorrelation plot. As an alternative approach, the time series is decomposed into its trend, first and second seasonalities, and residual. The distribution of energy consumption for each hour is shown for both the original and differenced time series.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.4.0
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