(Sandia National Laboratories) This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events. After being processed with machine learning, the data was used in the “Evaluation of Extreme Weather Impacts on Utility-scale Photovoltaic Plant Performance in the United States” manuscript. Additional details are captured in the associated manuscript.
Link to Dataset
Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States
Date last updated: June 15, 2024