Machine learning enables global solar-panel detection

Lynn H. Kaack ()

Nature, 2021, vol. 598, issue 7882, 567-568

Abstract: An inventory of the world’s solar-panel installations has been produced with the help of machine learning, revealing many more than had previously been recorded. The results will inform efforts to meet global targets for solar-energy use.

Keywords: Energy; Environmental sciences; Machine learning; Sustainability (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1038/d41586-021-02875-y

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