Machine Learning Models for Generating Synthetic Solar Radiation Data at Cairo, Egypt

The provided data is a part of my PhD thesis, which is concerned with modeling solar radiation components over Cairo, Egypt, using different machine learning algorithms, including: Artificial Neural Networks (MLP, NAR, NARX) Support Vector Machines (SVM) Adaptive Neuro-Fuzzy Inference System (ANFIS) Decision Trees (DT) Random Forest (RF) Gradient Boosting Bagging The model files can be imported and used for forecasting solar radiation using the ML_Predict.m script