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Estimating house energy efficiency based on large-scale field study on heating systems
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.
Keywords: Energy Science, Mechanical Data Science, Electrical Engineering, Data Science
Not specified
Not specified
Please contact us with your CV and your up-to-date transcripts of records (bachelor and master). If available, an overview of completed projects can be an advantage.
Ugne Potthoff| PhD Candidate and Research Assistant
ETH Zurich | Bosch IoT Lab | Weinbergstrasse 56/58 | 8092 Zurich | Switzerland
University St. Gallen | Bosch IoT Lab | Dufourstrasse 40a | 9000 St. Gallen | Switzerland
Internet www.iot-lab.ch
Please contact us with your CV and your up-to-date transcripts of records (bachelor and master). If available, an overview of completed projects can be an advantage.
Ugne Potthoff| PhD Candidate and Research Assistant ETH Zurich | Bosch IoT Lab | Weinbergstrasse 56/58 | 8092 Zurich | Switzerland University St. Gallen | Bosch IoT Lab | Dufourstrasse 40a | 9000 St. Gallen | Switzerland Internet www.iot-lab.ch
Simulink_home_model.pdf
