Energy Usage Time Series Prediction

This workflow has the aim to build an auto-regressive model using the previous 24h*7 as seasonality template:
- 24-hour seasonality template: the first week of the time series is used as a template for seasonality correction;
- auto means usage of past of the same time series for prediction. No other external time series/data used;
- Regressive refers to the mode used: either a linear or a polynomial regression.

Energy Usage Time Series Prediction

 

Resources

EXAMPLES Server: 50_Applications/10_Energy_Usage/01_Energy_Usage_Time_Series_Prediction50_Applications/10_Energy_Usage/01_Energy_Usage_Time_Series_Prediction*
Download a zip-archive

References:

 

 


* 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