yitbarek16/solar-challenge-week1

This project analyzes solar radiation data from Benin, Sierra Leone, and Togo to identify optimal sites for solar energy investment in West Africa. # MoonLight Energy Solutions - Solar Analytics Project ## 📋 Overview A comprehensive data analytics project for evaluating solar potential across West Africa. It analyzes solar irradiance metrics (GHI, DNI, DHI) from **Benin, Sierra Leone, and Togo** to support renewable energy investment decisions. **Key Objectives:** - Identify regions with the highest solar potential - Compare environmental factors affecting panel efficiency - Provide interactive tools for investment planning ## 🚀 Quick Start 1. **Clone the repository**: ```bash git clone github.com 2. **Create and activate a virtual environment**: ```bash python -m venv venv source venv/bin/activate 3. **Install the requirements**: ```bash pip install -r requirements.txt 4. **Launch dashboard**: ```bash streamlit run app/main.py Or Access at: `solar-dashboard.streamlit.app` ## 📊 Key Insights | Country | Avg GHI (W/m²) | Variability | Best Use Case | |---------------|----------------|-------------|----------------------------| | Benin | 240.6 | High | Large-scale solar farms | | Togo | 230.6 | Moderate | Balanced commercial use | | Sierra Leone | 202.0 | Low | Stable residential solar | ## Findings: - Benin shows the highest average GHI, but with greater variability - Sierra Leone provides the most stable irradiance values - Togo offers balanced performance across metrics ## 🛠️ Features - Interactive country & metric selection - Comparative visualizations (bar charts, heatmaps, variability analysis) - Statistical validation (ANOVA, outlier detection) - Dashboard ## License This project is licensed under the MIT License. You are free to use, modify, and share this project with proper attribution. --- Let's stay in touch! Feel free to connect with me on LinkedIn: