A statistical learning framework for solar irradiance forecasting using temperature clustering and tree-based models

Key Points

• Enhanced solar irradiance forecasting accuracy highlights the importance of temperature clustering.
• The model uses statistical learning methods with tree-based models to analyze irradiance data.
• Forecasting employed predictors from temperature clustering to optimize performance results.
• Results indicate potential for improved solar energy management and deployment systems.