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

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Brenner, Alex	Alex.Brenner (at) dlr.de	https://orcid.org/0000-0003-0754-0272	UNSPECIFIED
Hirsch, Tobias	Tobias.Hirsch (at) dlr.de	https://orcid.org/0000-0003-0063-0128	UNSPECIFIED
Röger, Marc	Marc.Roeger (at) dlr.de	https://orcid.org/0000-0003-0618-4253	UNSPECIFIED
Pitz-Paal, Robert	Robert.Pitz-Paal (at) dlr.de	https://orcid.org/0000-0002-3542-3391	UNSPECIFIED

Date:

1 June 2022

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

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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