M. Álvarez-Paucar

Comparative Evaluation of Machine Learning Models for Global Horizontal Irradiance Estimation in an Arid Coastal Climate

Accurate estimation of global horizontal irradiance (GHI) is relevant for characterizing solar resources in regions with limited measurement infrastructure. This study compared six machine learning models Polynomial Ridge Regression, Decision Tree, Random Forest, XGBoost, Artificial Neural Network, and K–Nearest Neighb...