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In Situ Enhancement of Heliostat Calibration Using Differentiable Ray Tracing and Artificial Intelligence

Pargmann, Max and Ebert, Jan and Kesselheim, Stefan and Maldonado Quinto, Daniel and Pitz-Paal, Robert (2022) In Situ Enhancement of Heliostat Calibration Using Differentiable Ray Tracing and Artificial Intelligence. SolarPaces 2022, 26.-30. September 2022, Albuquerque, USA. (Submitted)

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Item URL in elib:https://elib.dlr.de/193816/
Document Type:Conference or Workshop Item (Speech)
Title:In Situ Enhancement of Heliostat Calibration Using Differentiable Ray Tracing and Artificial Intelligence
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Pargmann, MaxUNSPECIFIEDhttps://orcid.org/0000-0002-4705-6285UNSPECIFIED
Ebert, JanJülich Supercomputing CentreUNSPECIFIEDUNSPECIFIED
Kesselheim, StefanJülich Supercomputing CentreUNSPECIFIEDUNSPECIFIED
Maldonado Quinto, DanielUNSPECIFIEDhttps://orcid.org/0000-0003-2929-8667UNSPECIFIED
Pitz-Paal, RobertUNSPECIFIEDhttps://orcid.org/0000-0002-3542-3391UNSPECIFIED
Date:2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Submitted
Keywords:Heliostat Calibration, Artificial Intelligence, Differentiable Raytracing
Event Title:SolarPaces 2022
Event Location:Albuquerque, USA
Event Type:international Conference
Event Dates:26.-30. September 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 - Smart Operation
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Solar Power Plant Technology
Deposited By: Pargmann, Max
Deposited On:28 Feb 2023 08:52
Last Modified:28 Feb 2023 08:52

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