Research profile

Smart Heat and Water Meter Data

Markus specialises in developing innovative approaches to harnessing commercial heat and water meter data to define building-specific actions for renovation projects. His work is centred on transforming raw data from smart heat and water meters into reliable and useful datasets by integrating it with existing building information. Markus has created a high-quality, unique dataset that significantly supports the scientific community.
He has also developed an automated technique for disaggregating smart meter readings to differentiate between space heating and domestic hot water demands at the city level utilising both smart heat and water meter data. Additionally, Markus focuses on using smart water meter data to detect building occupancy in a non-intrusive manner on a large scale. To manage the extensive volume of data, he employs advanced clustering techniques to distil the information into formats that are more comprehensible and actionable.

Novel School Renovation Concepts

Markus has explored innovative renovation concepts for schools, focusing on the integration of a double-skin facade with diffuse ceiling ventilation. His research includes developing the concept, controlling the system, and performing parametric building performance simulations to assess the robustness and applicability of the system.

General Interest

In addition to his primary research, Markus applies his expertise in machine learning to support colleagues, such as working on detecting occupants based on Indoor Environmental Quality sensor data.

Teaching profile

Markus teaches master's level courses in English on ‘IT System Development’ and ‘Modelling and Design Optimisation by Sensitivity Analysis and Uncertainty Analysis.’ He also serves as an examiner for these courses. His teaching activities encompass a broad range of subjects, including visual programming, sensitivity and uncertainty analysis within a Monte Carlo-based framework, and meta/surrogate modelling.