CX-025738: Learning-Assisted Preventive and Corrective Maintenance of PV Systems: Predicting Heterogeneous Failures from Heterogeneous Data

The U.S. Department of Energy is proposing to provide funding to the Research Foundation for the State University of New York (Stony Brook) in support of a project aimed at developing machine learning modules to predict photovoltaic solar system failures to facilitate efficient corrective and preventative maintenance.