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A dual GAN with identity blocks and pancreas-inspired loss for renewable energy optimization

Abstract Integrating energy and solar imagery is essential for electrical engineers in renewable energy prediction, consumption analysis, regression modeling, and fault detection applications. A significant challenge in these areas is the limited availability of high-quality datasets, which can hind...

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Principais autores: Mostafa Elbaz, Wael Said, Gamal M. Mahmoud, Hanaa Salem Marie
פורמט: Artigo
שפה:Inglês
יצא לאור: Nature Portfolio 2025-05-01
סדרה:Scientific Reports
נושאים:
Renewable energy
Metaheuristic loss
Generative adversarial networks (GANs)
Identity block
Image augmentation
גישה מקוונת:https://doi.org/10.1038/s41598-025-00600-7
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