Energy Transition Project
The heating and cooling of buildings are major contributors to climate change and are challenging to decarbonize. Policymakers define national and European targets to address sustainability challenges in this sector. Smart buildings and smart grids are designed to increase energy savings and optimize the flexibility of demand, coping thus with the availability of more volatile renewable energy sources.
Our research aims to analyze how smart buildings can contribute to a sustainable energy system, taking into account the three levels at which decision-makers contribute to a building sector decarbonization: from the micro-perspective (end-users), the meso-perspective (micro-grids), and the systems perspective (smart-grids). At each level, large amounts of data are available, covering technical and social data from consumers, producers and increasingly also from so-called prosumagers (i.e., actors who consume, produce and manage energy).
This opens new applications for AI and visualization techniques in the specific field of sustainable energy. At the intersection of AI, Visualization, and Geosciences, we focus on mining social trends and predicting as well as optimizing user behaviors.
Researchers
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Partners
Publications
Jiao, J.; Brugger, H.; Eichhammer, W.; Behrisch, M. (2021): User engagement analysis for smart buildings based on social trend tracking. In: eceee Summer Study Proceedings 2021. Stockholm.