Real time energy monitoring digital twin for outlier detection

energy-IO and Radboud University finished a project to develop an anomoly detection algorithm. The data science engineers of Radboud Universiy Nijmegen were supported by our engineers, With this solution our customers can be warned if energy consumption is changing or slightly drifts away what normally can’t be seen by the existing energy management systems.