vampriyad/Solar-Energy-Potential-in-Morocco

Independent research on Morocco’s solar energy potential using machine learning and real world data # Solar Energy Potential in Morocco This repository contains the independent research paper **Solar Energy Potential in Morocco: A Machine Learning Analysis of Eight Cities Using Three Years of Hourly Weather Data**. ## Research This research examines Morocco's solar energy potential using three years of hourly solar radiation and weather data from eight Moroccan cities. The study analyzes regional and seasonal variations in solar resources, evaluates machine learning methods for predicting solar radiation, and estimates photovoltaic electricity generation under different locations and conditions. ## Research Paper **Read the Full Research Paper** The complete research paper is included in this repository together with the supporting materials used in the study. ## Publication This research has been independently conducted and publicly published through Zenodo. **DOI:** 10.5281/zenodo.21895488 ## Author **Riyad Khairoun** Independent Researcher Morocco 2026 ## Copyright and License This project and its contents are protected by copyright. The research paper, source code, datasets, figures, text, analysis, and other materials contained in this repository may not be copied, reproduced, modified, distributed, republished, or used without prior written permission from the author. All rights to the original work are reserved by the author. Permission may be granted by the author for specific uses upon written request. ## Thank You Thank you for visiting this repository and taking an interest in this research on **solar energy potential in Morocco**. --- **© 2026 Riyad Khairoun. All Rights Reserved.** ## Repository structure ``` ├── Paper_Solar_Energy_Morocco.pdf ← the paper ├── scripts/ │ ├── 01_daily_dataset.py ← builds the daily dataset from raw API data │ ├── 02_analysis_figures.py ← exploratory analysis and figures │ ├── 03_ml_models.py ← machine-learning models and evaluation │ └── build_paper.py …