Inspecting and Removing Seasonality - Exercise

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 in a conditional box plot for both the original and differenced time series.

External resources

• Slides on the KNIME Website
• Extract Date&Time Fields Node