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  • 02_ETL_Data_Manipulation
  • 06_Date_and_Time_Manipulation
  • 03_ETL_Energy_autocorr_stats
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Usage Measures vs. auto-correlation on Energy Consumption Time Series

ETL KNIME data manipulation time series energy consumption +4

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The theme ingredient in this workflow is Energy Consumption Time Series. What kind of variables can we extract from energy consumption data? Here we work on: 1. Usage Measures - average and in % for weekdays and day times for each meter ID time series 2. Auto-correlation for single selected meter ID time series to detect seasonality

External resources

  • www.knime.org/blog/EnergyConsumptionTimeSeries

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.1
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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License (CC-BY-4.0)
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