Brenner, Alex and Hirsch, Tobias and Röger, Marc and Pitz-Paal, Robert (2022) Data Analysis for Parabolic Trough Fields with Machine Learning. 25th Cologne Solar Colloquium, 22.06.2022, Köln.
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Item URL in elib: | https://elib.dlr.de/189499/ | |||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | |||||||||||||||
Title: | Data Analysis for Parabolic Trough Fields with Machine Learning | |||||||||||||||
Authors: |
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Date: | 1 June 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; machine learning | |||||||||||||||
Event Title: | 25th Cologne Solar Colloquium | |||||||||||||||
Event Location: | Köln | |||||||||||||||
Event Type: | national Conference | |||||||||||||||
Event Dates: | 22.06.2022 | |||||||||||||||
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 10:49 | |||||||||||||||
Last Modified: | 13 Jan 2023 07:50 |
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