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Brenner, Alex (2022) Data Analysis in Parabolic Trough Fields - Determination of Mirror Cleanliness with Machine Learning. Helmholtz Energy Young Scientists Workshop, 30.05.2022, 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 Dates: | 30.05.2022 | ||||||
| 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: | 13 Jan 2023 07:51 |
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