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Dokumenttyp:
Masterarbeit
Autor(en):
Georgi Hrusanov
Titel:
Predicting Building Occupancy with the Koopman Operator
Abstract:
This thesis comprehensively investigates forecasting building occupancy levels using the Koopman Operator in the context of the university canteen, also known as the Mensa at the Technical University of Munich. For the optimization of both resource allocation and when to go to the Mensa an accurate prediction of the building occupancy is needed, but this task present a serious challenge due to the complex behaviours and dynamics involved. The project attempts to improve occupancy prediction algo...     »
Aufgabensteller:
Felix Dietrich
Betreuer:
Iryna Burak
Jahr:
2024
Quartal:
1. Quartal
Jahr / Monat:
2024-02
Monat:
Feb
Sprache:
en
Hochschule / Universität:
Technical University of Munich
Fakultät:
TUM School of Computation, Information and Technology
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