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Introduction to Models

Models in Insights Hub Energy Optimizer connects the Energy Resource consumption to production context data. Each model is applied to one Energy Consumer/Energy Resource combination and uses other data on the asset as predictors. In general, models can be used for root cause analysis, process optimization, forecasting and anomaly detection, which helps the user to control and optimize their Energy Resource consumption. The first modelling application available is for anomaly detection of batch or cyclic processes. This feature sends alerts to the user when the Energy per reference value exceeds a pre-defined limit. The model building technology in the application helps the user to define these limits based on learning from past data.

The users with creator role can access the modelling area in the application. For more information on assigning this user role, refer to Settings documentation.

The modelling landing page provides an overview of all the models configured on the tenant, as described in the Models Overview section. To build a new model, refer to Building a Model.


Last update: January 15, 2025