Attitude Determination in Space with Ambient Light Sensors using Machine Learning for Solar Cell Characterization-Reference-Cited by-同舟云学术

Attitude Determination in Space with Ambient Light Sensors using Machine Learning for Solar Cell Characterization

Published:2022-09 Issue:11 Volume:6 Page:2200537
ISSN:2367-198X
Container-title:Solar RRL
language:en
Short-container-title:Solar RRL

Author:

Reb Lennart K.¹,Böhmer Michael²,Predeschly Benjamin¹,Spanier Lukas V.¹,Dreißigacker Christoph³,Meyer Andreas³,Müller-Buschbaum Peter¹⁴^ORCID

Affiliation:

1. Lehrstuhl für Funktionelle Materialien Physik Department Technische Universität München 85748 Garching Germany

2. Zentrales Technologielabor Physik Department Technische Universität München 85748 Garching Germany

3. Institut für Materialphysik im Weltraum Deutsches Zentrum für Luft- und Raumfahrt (DLR) 51147 Köln Germany

4. Heinz Maier-Leibnitz Zentrum (MLZ) Technische Universität München 85748 Garching Germany

Funder

Deutsche Forschungsgemeinschaft

Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/solr.202200537

Reference46 articles.

1. SPACE PHOTOVOLTAICS – History, PROGRESS AND PROMISE

2. A Brief Review of High Efficiency III-V Solar Cells for Space Application

3. D.Cardwell A.Kirk C.Stender A.Wibowo F.Tuminello M.Drees R.Chan M.Osowski N.Pan in2017 IEEE 44th Photovoltaic Specialists Conf. (PVSC) IEEE Piscataway NJ June 2017 pp.3511–3513.

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