Tell a friend
Print
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.
![[img]](https://elib.dlr.de/style/images/fileicons/application_pdf.png) |
PDF
- Only accessible within DLR
1MB |
| Item URL in elib: | https://elib.dlr.de/189493/ | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Title: | Data Analysis in Parabolic Trough Fields - Determination of Mirror Cleanliness with Machine Learning | ||||||||
| Authors: |
| ||||||||
| Date: | 30 May 2022 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| 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: | 30 Apr 2026 13:09 |
Repository Staff Only: item control page
