Semi-online tech for short-term solar irradiance forecast in PV plants
- Admin
- Sep 24, 2024
- 3 min read
Researchers from the University of Seville in Spain have developed a machine-learning algorithm for forecasting very short-term solar irradiance based on sensor data preprocessing. The algorithm helps in real-time monitoring of electricity production and regulatory compliance. They used a dataset from the Alderville 5 MW solar farm in Canada and applied correlation analysis to understand panel relationships. Various machine learning techniques were used, with Light Gradient Boosting Machine showing slightly superior results. The study aims to improve accuracy in solar irradiance forecasting.
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