Brenner, Alex (2022) Data Analysis in Parabolic Trough Fields - Determination of Mirror Cleanliness with Machine Learning. Helmholtz Energy Young Scientists Workshop, 2022-05-30, Frankfurt.
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Item URL in elib: | https://elib.dlr.de/189493/ | ||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||
Title: | Data Analysis in Parabolic Trough Fields - Determination of Mirror Cleanliness with Machine Learning | ||||||||
Authors: |
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Date: | 30 May 2022 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | Yes | ||||||||
Gold Open Access: | No | ||||||||
In SCOPUS: | No | ||||||||
In ISI Web of Science: | No | ||||||||
Status: | Published | ||||||||
Keywords: | parabolic trough; condition monitoring; soiling; machine learning | ||||||||
Event Title: | Helmholtz Energy Young Scientists Workshop | ||||||||
Event Location: | Frankfurt | ||||||||
Event Type: | national Conference | ||||||||
Event Date: | 30 May 2022 | ||||||||
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 - Advanced Heat Transfer Media | ||||||||
Location: | Stuttgart | ||||||||
Institutes and Institutions: | Institute of Solar Research > Solar High Temperature Technologies | ||||||||
Deposited By: | Lucarelli, Fabio | ||||||||
Deposited On: | 28 Oct 2022 10:48 | ||||||||
Last Modified: | 24 Apr 2024 20:50 |
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