1+ hour, 50+ min ago  (696+ words) pv magazine Australia AI model uses cloud type and cover to predict solar power swings A machine-learning model uses cloud type and cloud cover to predict rapid changes in surface solar irradiance, including short-term "ramp" events that affect grid stability....

4+ mon, 3+ week 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…...