Bosch IoT LabOpen OpportunitiesDriver state detection systems will become mandatory in many countries in this decade. In this thesis, you will use a unique multi-sensor dataset with 55 drivers collected by us in a in a real car on a test track to develop a ML drunk driving detection algorithm! - Applied Statistics, Artificial Intelligence and Signal and Image Processing, Computer Software
- ETH Zurich (ETHZ), Master Thesis
| The goal of this thesis is, based on heat pump operational data, to create a model capable of extracting context information needed for heating system analysis. This approach offers significant potential for energy savings and wider renewable energy adaptation, as equipment manufacturers would be enabled to learn from operating equipment data and provide the homeowner with optimized heat pump settings, which would lead to energy savings for homeowners. - Engineering and Technology, Information, Computing and Communication Sciences, Physics
- ETH Zurich (ETHZ), Master Thesis
| As the world shifts towards renewable energy sources, heat pumps have emerged as a critical technology for reducing reliance on fossil fuels in building heating systems. These pumps, which draw energy from air or ground sources, represent a significant advance over traditional fossil fuel heating methods. Yet, not all buildings are currently suited for direct transition to heat pump technology; some require retrofitting to optimize energy efficiency, while others are already efficient enough to make the switch.
The challenge lies in accurately identifying which houses are ready for heat pump implementation and which ones need retrofitting. Current heat systems, including gas boilers, offer a wealth of data, but lack crucial building context information like size, insulation, room temperatures or heating system hydraulic architecture. This gap in data hinders the effective analysis and optimization of heating systems.
This thesis aims to develop a model using gas boiler data to deduce building context information. The goal is to identify homes ready for heat pump implementation, streamlining the transition towards more sustainable heating solutions. - Engineering and Technology, Information, Computing and Communication Sciences
- ETH Zurich (ETHZ), Master Thesis
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