The Digital Twin and Agentic AI Infrastructure Lab investigates technologies and software architectures for developing digital twin infrastructures in energy systems. The lab focuses on the software stack required to integrate data platforms, digital twins, artificial intelligence, and intelligent agents in complex digital environments.
The lab provides experimental environments where researchers can evaluate how digital twins and agentic AI systems interact with data sources, sensors, operational systems, and simulation platforms. Through these experiments, the lab studies how intelligent software infrastructures can support more efficient, adaptive, and sustainable operation of future energy systems.