Computer vision algorithm for relative misalignments estimation in CPV modules-Reference-Cited by-同舟云学术

Computer vision algorithm for relative misalignments estimation in CPV modules

Published:2018 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
language:
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Author:

José Luis San,Herrero Rebeca,Antón Ignacio,Sala Gabriel

Publisher

Author(s)

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5053548

Reference8 articles.

1. R. Mohedano, R. Leuft, “Handbook of concentrator photovoltaic technology” Ed. Wiley C. Algora, I. Rey-Stolle

2. Characterization of optical collectors for concentration photovoltaic applications

3. Herrero, R. et al. “Module Optical Analyser: Identification of Defects on the Production Line” 10th International Conference on Concentrator Photovoltaic Systems (CPV-10), 07/04/2014-09/04/2014

4. Analysis of electrical mismatches in high-concentrator photovoltaic power plants with distributed inverter configurations

5. Innovative test facility for a comparative outdoor CPV modules characterization

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1. On-site characterization of misalignments between concentrator photovoltaic modules installed on trackers;Solar Energy;2022-09

2. Characterization method and analysis of misalignments in micro-concentrator photovoltaic modules;Optics Express;2022-05-09

3. Misalignments characterization in micro-CPV modules with deep learning compared with electrical performance parameters;17TH INTERNATIONAL CONFERENCE ON CONCENTRATOR PHOTOVOLTAIC SYSTEMS (CPV-17);2022

4. Relative misalignments estimation in on-tracker CPV modules through image processing;15th International Conference on Concentrator Photovoltaic Systems (CPV-15);2019