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Inverse Deep Learning Raytracing for Heliostat Surface Prediction

Lewen, Jan and Pargmann, Max and Cherti, Mehdi and Jitsev, Jenia and Pitz-Paal, Robert and Maldonado Quinto, Daniel (2024) Inverse Deep Learning Raytracing for Heliostat Surface Prediction. SolarPACES 2024, 2024-10-08 - 2024-10-11, Rom.

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Item URL in elib:https://elib.dlr.de/213212/
Document Type:Conference or Workshop Item (Speech)
Title:Inverse Deep Learning Raytracing for Heliostat Surface Prediction
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lewen, Janjan.lewen (at) dlr.dehttps://orcid.org/0000-0003-2146-8991UNSPECIFIED
Pargmann, MaxMax.Pargmann (at) dlr.dehttps://orcid.org/0000-0002-4705-6285UNSPECIFIED
Cherti, MehdiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jitsev, JeniaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pitz-Paal, RobertRobert.Pitz-Paal (at) dlr.dehttps://orcid.org/0000-0002-3542-3391UNSPECIFIED
Maldonado Quinto, DanielDaniel.MaldonadoQuinto (at) dlr.dehttps://orcid.org/0000-0003-2929-8667UNSPECIFIED
Date:11 October 2024
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:Inverse Deep Learning Raytracing, Concentrating Solar Power, Heliostat Surface Error, Deep Learnig
Event Title:SolarPACES 2024
Event Location:Rom
Event Type:international Conference
Event Start Date:8 October 2024
Event End Date:11 October 2024
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Digitalization and System Technology
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Energy System Technology, R - Artificial Intelligence
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research
Institute of Solar Research > Concentrating Solar Technologies
Deposited By: Lewen, Jan
Deposited On:18 Jun 2025 12:14
Last Modified:18 Jun 2025 12:14

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