Researchers have successfully deployed five deep learning algorithms to significantly improve forecasting accuracy for hybrid renewable energy systems.

Researchers have developed a novel deep learning system utilizing Residual Networks (ResNet) to accurately detect cracks in photovoltaic panels.

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