Brenner, Alex (2021) Bestimmung von Soiling aus Betriebs- und Meteodaten. AG3-Workshop: Maschinelles Lernen & KI für CSP, online.
![]() |
PDF
904kB |
Item URL in elib: | https://elib.dlr.de/146987/ | ||||||
---|---|---|---|---|---|---|---|
Document Type: | Conference or Workshop Item (Speech) | ||||||
Title: | Bestimmung von Soiling aus Betriebs- und Meteodaten | ||||||
Authors: |
| ||||||
Date: | 8 December 2021 | ||||||
Refereed publication: | No | ||||||
Open Access: | Yes | ||||||
Gold Open Access: | No | ||||||
In SCOPUS: | No | ||||||
In ISI Web of Science: | No | ||||||
Status: | Published | ||||||
Keywords: | Parabolrinnne, Spiegelverschmutzung, Soiling, Künstliche Intelligenz, Machine learning, Neuronales Netz | ||||||
Event Title: | AG3-Workshop: Maschinelles Lernen & KI für CSP | ||||||
Event Location: | online | ||||||
Event Type: | Workshop | ||||||
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: | Brenner, Alex | ||||||
Deposited On: | 13 Dec 2021 14:40 | ||||||
Last Modified: | 13 Dec 2021 14:40 |
Repository Staff Only: item control page