Scientists in Malaysia have developed a novel deep-learning method for PV suitability mapping. Applying the new approach to the Middle East, they found that approximately 5. 8% of the region has very high suitability and 11. 5% is highly suitable for PV energy development. A research team led by the National University of Malaysia has developed a novel deep-learning method for PV suitability mapping. "The novelty of our research lies in the development of a fully optimized and interpretable deep learning pipeline, combining TabNet, Optuna, and SHAP for solar PV site suitability mapping," corresponding ...Den vollständigen Artikel lesen ...
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