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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, 22.06.2022, 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
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Brenner, AlexAlex.Brenner (at) dlr.dehttps://orcid.org/0000-0003-0754-0272
Hirsch, TobiasTobias.Hirsch (at) dlr.dehttps://orcid.org/0000-0003-0063-0128
Röger, MarcMarc.Roeger (at) dlr.dehttps://orcid.org/0000-0003-0618-4253
Pitz-Paal, RobertRobert.Pitz-Paal (at) dlr.dehttps://orcid.org/0000-0002-3542-3391
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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