Air pollution and meteorological factors significantly enhance solar radiation forecasting accuracy in the western mediterranean region: a machine learning approach
Ercument Aksoy
IntroductionSolar energy plays a critical role in meeting global energy demands and combating climate change. While meteorological factors are widely used in solar radiation forecasting models, the impact of air pollution parameters remains underexplored, particularly in the Western Mediterranean Region of Türkiye.MethodsRegression models were developed using four machine learning algorithms: Support Vector Machine (SVM), Random Forest (RF), Extra Trees (ET), and LightGBM; under two scenarios: M