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What is Intro 0005 about?

This study presents a modular solar irradiance forecasting dashboard that combines Random Forest regression with physics-informed feature engineering and Shapley Additive Explanations to enhance both accuracy and interpretability for five cities in Saudi Arabia. The framework achieved high predictive performance, with determination coefficients exceeding 0.90 and low root mean squared errors, while also incorporating an alert system to flag significant deviations. This approach aligns with Saudi Vision 2030

Author

Abubakar Danjuma Maiwada

Language

EN