US researchers say a deep-learning framework provides the most detailed picture yet of how utility-scale solar uses land, revealing unexpected efficiency gaps and clearer pathways for agrivoltaics and brownfield development.From pv magazine USA An academic paper published in Communications Earth & Environment has introduced a systematic methodology that leverages deep learning and high-resolution aerial imagery to quantify the land required for utility-scale solar projects in the US Western Interconnection. The study aims to resolve previous inconsistencies in land-use estimates by analyzing 719 ...Den vollständigen Artikel lesen ...
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