Solar PV system specifications are critical to accurately modeling PV system production (along with high-quality weather data and PV production models), but are not always readily available. This paper describes how it’s possible to infer system specifications and produce more accurate power simulations using an advanced power model and machine learning.
This poster was presented at the PV Systems Symposium held May 14-16, 2019 in Albuquerque, New Mexico.
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