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Christian Raeder
Observed names:
Raeder Christian,
Raeder, Christian
Institution:
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Observed institution:
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
ORCID:
0009-0009-4903-6200
Observed ORCID:
0009-0009-4903-6200
OpenAlex ID:
A5102817455
Review of heliostat calibration and tracking control methods
2020
·
Johannes Christoph Sattler
, Marc Röger
, et al.
·
Solar Energy
·
87
PDF
Evaluation of an all sky imager based nowcasting system for distinct conditions and five sites
2020
·
Bijan Nouri
, Stefan Wilbert
, et al.
·
AIP conference proceedings
·
12
PDF
A high-resolution optical measurement system for rapid acquisition of radiation flux density maps
2017
·
Martin Thelen
, Christian Raeder
, et al.
·
AIP conference proceedings
·
11
PDF
Proof of concept: Real-time flux density monitoring system on external tube receivers for optimized solar field operation
2023
·
Christian Raeder
, Matthias Offergeld
, et al.
·
AIP conference proceedings
·
7
PDF
Concentrating solar power (CSP) plant data-driven digital twin: A novel method for flux density prediction
2025
·
Diaz Alonso Sergio
, Raeder Christian
, et al.
·
Results in Engineering
·
6
Hochauflösendes optisches Messsystem zur schnellen Erfassungvon Flussdichte-Kennfeldern
2016
·
Martin Thelen
, Christian Willsch
, et al.
·
elib (German Aerospace Center)
·
1
PDF
Data-driven digital twin for Solar Power Towers: Achieving experimental accuracy via sim2real deep-learning transfer
2026
·
Sergio Díaz-Alonso
, Christian Raeder
, et al.
·
Energy
Al-driven reflectivity predictions for the optimization of CST applications
2026
·
Felix Göhring
, Christian Raeder
, et al.
Experimental dataset for flux density prediction in Concentrating Solar Power (CSP) plants
2026
·
Díaz Alonso, Sergio
, Raeder, Christian
·
Zenodo (CERN European Organization for Nuclear Research)
A data-driven digital twin approach for real-time flux density prediction in solar power towers using ray-level deep learning corrections
2026
·
Sergio Díaz-Alonso
, Christian Raeder
, et al.
·
Energy and AI
Data-driven digital twin for Solar Power Towers: achieving experimental accuracy via sim2real deep-learning transfer
2026
·
Sergio Díaz Alonso
, Christian Raeder
, et al.
·
SSRN Electronic Journal
Real-Time Image Enhanced Data-Driven Digital Twin (Real-TImE 3DT) for Flux Density Measurements
2025
·
Sergio Díaz Alonso
, Christian Raeder
, et al.
·
SolarPACES Conference Proceedings
PDF
Csp Data-Driven Digital Twin: A Novel Method for Flux Density Prediction
2025
·
Sergio Díaz Alonso
, Christian Raeder
, et al.
·
SSRN Electronic Journal
Concentrating solar power (CSP) plant data-driven digital twin: A novel method for flux density prediction
2025
·
Diaz Alonso, Sergio
, Raeder, Christian
, et al.
·
RWTH Publications (RWTH Aachen)
Entwicklungslinien zur Flussdichtemesstechnik der DLR-Solarforschung
2016
·
Martin Thelen
, Marc Röger
, et al.
·
elib (German Aerospace Center)
PDF
Solares Recyceln von Aluminium in einem direkt bestrahlten Drehrohrofen
2016
·
Martina Neises‐von Puttkamer
, Martin Roeb
, et al.
Die Pilotanwendung der weltweit größten künstlichen Sonne in der solarthermischen Wasserstofferzeugung im Technikumsmaßstab
2014
·
K.-H. Funken
, Kai Wieghardt
, et al.
·
elib (German Aerospace Center)
PDF
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Works count:
20
Citation count:
124
H-index:
5
I10-index:
3
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