Master Thesis - Hybrid ML + LLM-based Fault Detection and Explainability for Smart Building IoT Systems

At the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), we develop advanced models and algorithms for the simulation and optimization of integrated multi-energy systems. Within the Living Lab Energy Campus (LLEC) project, large office buildings are equipped with many IoT devices, typically 5-10 devices per office room. These devices transmit real-time data such as the opening state of windows, doors as well as room air quality and luminance measurements to a cloud infrastructure. Additionally, through a user-facing energy dashboard with a desk booking system, building occupants can interact bidirectionally with the building systems. These occupant-building interactions are the basis for several avenues of research including the intelligent operation of heating and shading systems. As part of our team, you will contribute to the smooth and relia...