GEMSE addresses the challenge of maintaining power grid stability amidst the increasing variability introduced by renewable energy sources. Traditional state estimation methods lack the speed and accuracy needed for real-time applications. By utilising an Al-driven, graph-based model, this solution integrates sensor data across subsystems, improving accuracy and reducing computational time to milliseconds.
Successfully tested in a Swiss hydro-power plant, this approach enhances grid reliability, scalability, and promotes sustainability in renewable energy management.