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Machine-learning models identify hidden physical defects in solar arrays
21+ hour, 31+ min ago (339+ words) The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before conventional inspections, potentially reducing operations and maintenance costs. By leveraging historical datasets provided by Ecogy Energy, researchers Yue Zhao and Kang Pu trained…...