Towards deep learning based airborne monitoring methods for heliostats in solar tower power plants-Reference-Cited by-同舟云学术

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Towards deep learning based airborne monitoring methods for heliostats in solar tower power plants

Published:2023-10-04 Issue: Volume: Page:
ISSN:
Container-title:Advances in Solar Energy: Heliostat Systems Design, Implementation, and Operation
language:
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Author:

Broda Rafal,Schnerring Alexander,Krauth Julian J.,Röger Marc,Pitz-Paal Robert

Publisher

SPIE

Reference15 articles.

1. Blender Online Community, Blender - a 3D modelling and rendering package. Blender Foundation, Stichting Blender Foundation, Amsterdam (2018).

2. Journal of Open Source Software

3. A two-stage method for measuring the heliostat offset;Jessen,2022

4. A non-intrusive optical (NIO) approach to characterize heliostats in utility-scale power tower plants: Methodology and in-situ validation

5. Machine learning for solar trackers;Carballo,2019

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