Explainable Deep Learning for Hyperparameter Optimization-Based Prediction of Solar Radiation Intensity Classification
Due to the intermittent solar presence, forecasting Solar radiation, is crucial to balancing energy generation and demand, which is critical for the whole grid system. Deep neural networks have become the standard de facto in many fields, and also in forecasting. Despite that, these models are black...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
World Scientific Publishing
2026-02-01
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| Seria: | Vietnam Journal of Computer Science |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.worldscientific.com/doi/10.1142/S2196888825500058 |
| Etykiety: |
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