A software architecture for the analysis of energy- and process-data

This paper contributes a framework that helps to fulfill the requirements of the standards DIN EN 16247 and ISO 50001 by combining (i) a synchronized data acquisition, (ii) data integration, (iii) learning of normal behavior models and (iv) a implementation of an anomaly detection as prototype. Both standards require a reliable data acquisition and energy consumption analysis for implementing a certified energy management system. It shows that this framework meets the specifications of the standards by implementing a combined data acquisition and anomaly detection approach.