Open access
Aug 2026
Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models
This research provides a direct comparison of five machine learning algorithms, that is, Decision Tree Regression (DTR), Multiple Linear Regression (MLR), Random Forest (RF), k‐Nearest Neighbors (kNN), and Extreme Gradient Boosting (XGBoost) for forecasting PV power output in Jazan, Saudi Arabia.
Abdoalateef Alzhrani, A. Mas’ud, M. K. A. Kamarudin et al.
· Energy Science & Enginee... · 0 citations