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