Real-Time Monitoring of Low-Voltage-Grids using Digital Twins and advanced edge-computing technologies

The presentation traces the development of an autonomous low-voltage monitoring system that uses real-time data and a physical network model to form a self-sufficient unit. This digital assistant empowers grid operators to achieve high-resolution observability without relying on costly big data processes. The approach enables immediate deployment, avoids cloud dependencies, and ensures long-term usability of insights. A live demo with real substations may be showcased on stage.