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Data Analysis for Parabolic Trough Fields with Machine Learning

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, 2022-06-22, Köln.

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Item URL in elib:https://elib.dlr.de/189499/
Document Type:Conference or Workshop Item (Speech)
Title:Data Analysis for Parabolic Trough Fields with Machine Learning
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Brenner, AlexUNSPECIFIEDhttps://orcid.org/0000-0003-0754-0272UNSPECIFIED
Hirsch, TobiasUNSPECIFIEDhttps://orcid.org/0000-0003-0063-0128UNSPECIFIED
Röger, MarcUNSPECIFIEDhttps://orcid.org/0000-0003-0618-4253UNSPECIFIED
Pitz-Paal, RobertUNSPECIFIEDhttps://orcid.org/0000-0002-3542-3391UNSPECIFIED
Date:1 June 2022
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:parabolic trough; condition monitoring; machine learning
Event Title:25th Cologne Solar Colloquium
Event Location:Köln
Event Type:national Conference
Event Date:22 June 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:24 Apr 2024 20:50

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