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Investigating Physics-Informed Machine Learning in Anomaly Detection of District Heating Substations
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2026
Master Thesis
Title
Investigating Physics-Informed Machine Learning in Anomaly Detection of District Heating Substations
Thesis Note
Köln, TH, Master Thesis, 2026
Author(s)
Ungelenke, Daniel
Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik IEE
Advisor(s)
Cerfontaine, Pascal
Technische Hochschule Köln
Language
English
Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik IEE
Keyword(s)
PIML
anomaly detection
district heating substation
plate heat exchanger
