SPLTRAK Abstract Submission
Estimation of Soiling Losses in Unlabeled PV Data
Bennet E. Meyers1,2
1SLAC National Accelerator Laboratory, Menlo Park, CA, United States
/2Stanford University, Stanford, CA, United States

We provide a methodology for estimating the losses due to soiling for photovoltaic (PV) systems. We focus this work on estimating the losses from historical power production data that are unlabeled, i.e. power measurements with time stamps, but no other information such as site configuration or meteorological data. This approach is appropriate for analyzing the soiling losses in field production data from fleets of distributed rooftop systems and is highly automatic, allowing for scaling to large fleets of heterogeneous PV systems.