Principal Investigator: Associate Professor Mikkel Baun Kjærgaard

Faculty of Engineering – The Mærsk Mc-Kinney Møller Institute – Center for Energy Informatics – SDU

My research is about Energy Informatics, Ubiquitous Computing and Data Science.HPC is important for my research because it allows us to scale our analysis to larger datasets and to explore the impact of more parameters. The data, I have run on ABACUS 2.0 is sensing data on the presence of people in buildings and associated energy data.

We have developed an algorithm to process sensing data about presence of people in buildings to estimate occupation properties. In our evaluations we have demonstrated that it can process sensor data to accurately estimate occupation properties. The estimated data can among others be used to analyse the energy consumption in buildings in relation to occupation patterns.