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Data Analysis in Parabolic Trough Fields - Determination of Mirror Cleanliness with Machine Learning

Brenner, Alex (2022) Data Analysis in Parabolic Trough Fields - Determination of Mirror Cleanliness with Machine Learning. Helmholtz Energy Young Scientists Workshop, 30.05.2022, Frankfurt.

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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:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Brenner, AlexAlex.Brenner (at) dlr.dehttps://orcid.org/0000-0003-0754-0272
Date:30 May 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; soiling; machine learning
Event Title:Helmholtz Energy Young Scientists Workshop
Event Location:Frankfurt
Event Type:national Conference
Event Dates:30.05.2022
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:13 Jan 2023 07:51

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