Classification of solar panel technology and photovoltaic cell status applying machine learning to electroluminescence images
Author:
Affiliation:
1. Pontificia Universidad Católica del Perú,Engineering Department – Electricity and Electronics Section,Lima,Peru
2. Pontificia Universidad Católica del Perú,Science Department – Physics Section,Lima,Peru
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10608458/10608460/10608551.pdf?arnumber=10608551
Reference18 articles.
1. Detection of anomalies in photovoltaic panels based on multispectral images;Le Roy,2020
2. Synthetic Dataset of Electroluminescence Images of Photovoltaic Cells by Deep Convolutional Generative Adversarial Networks
3. A benchmark dataset for defect detection and classification in electroluminescence images of PV modules using semantic segmentation
4. Study, analysis qualitative-quantitative and carbon footprint impact from photovoltaic energy use
5. Análisis cualitativo y dimensionamiento del impacto ambiental del uso de la Energía Fotovoltaica: 3 Casos de estudio en el Perú
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