Dianati, Amin (2022) Parallelisierung der Kamera-Target Methode zur Heliostat Kalibration auf Grundlage von Deep Learning. Master's, Hochshule Bonn-Rhein-Sieg.
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Item URL in elib: | https://elib.dlr.de/192811/ | ||||||||
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Document Type: | Thesis (Master's) | ||||||||
Title: | Parallelisierung der Kamera-Target Methode zur Heliostat Kalibration auf Grundlage von Deep Learning | ||||||||
Authors: |
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Date: | 2022 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | Yes | ||||||||
Status: | Published | ||||||||
Keywords: | Heliostat Kalibration, Parallelisierung, Deep Learning, Machine Learning | ||||||||
Institution: | Hochshule Bonn-Rhein-Sieg | ||||||||
Department: | Department of Computer Sciences | ||||||||
HGF - Research field: | Energy | ||||||||
HGF - Program: | Materials and Technologies for the Energy Transition | ||||||||
HGF - Program Themes: | High-Temperature Thermal Technologies | ||||||||
DLR - Research area: | Energy | ||||||||
DLR - Program: | E SW - Solar and Wind Energy | ||||||||
DLR - Research theme (Project): | E - Smart Operation | ||||||||
Location: | Köln-Porz | ||||||||
Institutes and Institutions: | Institute of Solar Research > Solar Power Plant Technology | ||||||||
Deposited By: | Pargmann, Max | ||||||||
Deposited On: | 28 Feb 2023 09:02 | ||||||||
Last Modified: | 28 Feb 2023 09:02 |
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