SCADA and metering provider Trimark Associates will be giving a joint presentation with Sandia National Laboratories at the 5th Annual PV Operations USA conference on November 6 from 2:45 to 3:15 p.m. PV Operations is North America’s leading event dedicated to the operational phase of the solar lifecycle. The conference brings together two days of tailored, highly interactive, information and peer-to-peer learning opportunities for solar PV O&M, asset management, finance and investment professionals.
Solar power plant SCADA systems collect and present a vast amount of power generation data, weather data and performance metrics. By incorporating local and site-specific characteristics, an innovative machine learning algorithm can be trained using historical data to forecast a solar plant’s generation.
May Cai, Trimark’s data scientist, and Thushara Gunda, senior member of Sandia National Laboratories’ technical staff, will present: Foresee the Future: Using Machine Learning, Climate and Site Characteristics to Predict Solar Plant Generation.
The topics that will be covered include:
- The correlation between weather/climate patterns and power generation
- Variations in weather patterns and their impact during clipped and non-clipped periods
- Machine learning techniques using high resolution SCADA data
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