ETL Energy autocorr stats

Theme ingredient is Energy Consumption Time Series. Which 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.

BLOG: https://www.knime.org/blog/EnergyConsumptionTimeSeries

ETL Energy autocorr stats

 

Resources

EXAMPLES Server: 02_ETL_Data_Manipulation/06_Date_and_Time_Manipulation/03_ETL_Energy_autocorr_stats02_ETL_Data_Manipulation/06_Date_and_Time_Manipulation/03_ETL_Energy_autocorr_stats*
Download a zip-archive

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually