☀️ Solar Radiation ML Models – Saudi Arabian Dataset

This repository contains the full machine learning workflow to predict Global Horizontal Irradiance (GHI) using Saudi Arabia’s weather data (2015–2020).

🔍 Objectives

• Train & compare multiple ML models (Linear Regression, RF, XGB, etc.)
• Evaluate with MAE, RMSE, R²
• Export best model for deployment

🧪 Models Evaluated

• Linear Regression ✅
• Random Forest
• XGBoost
• Histogram Gradient Boosting
• Support Vector Regression
• Artificial Neural Networks
• Decision Tree
• KNN

📁 Contents

• notebooks/: Model training and evaluation
• models/: Saved .pkl files
• dataset/: Cleaned sample dataset
• requirements.txt: Library dependencies

📌 Highlights

• Best R²: 0.97 (Linear Regression)
• 21 input features including DHI, DNI, humidity, wind speed
• 10-fold and 43-fold cross-validation

🔗 Live App (Deployed Model)

See deployment repo here: (https://solar-radiation-prediction-using-saudi.onrender.com)

🔗 Related Repositories:

• 🔬 Model Training & Evaluation Repo
• 🌐 Web App Deployment Repo