Tag: Sandia Laboratories

  • Improving solar plant generation predictions with machine-learning techniques

    Accurately predicting power generation for PV sites is critical for prioritizing relevant operations & maintenance activities, thereby extending the lifetime of a system and improving profit margins. A number of factors influence power generation at PV sites, including local weather, shading and soiling losses, design of modules, DC mismatches, andRead More — Solar Builder magazine