yosef-zewdu/African-Energy-Optimization

Optimization of Energy Access and Utilization in Africa using Data-Driven Insights # Optimization of Energy Access and Utilization in Africa using Data-Driven insights ## Project Overview Many African countries face challenges related to low energy consumption, reliance on fossil fuels, and underutilization of renewable energy resources. A lack of actionable insights into energy patterns worsens these issues. We will use the African dataset included in the Global Energy Statistics Dataset from Kaggle- kaggle.com This project involves developing a Renewable Energy Optimization Dashboard to Create a data-driven solution to optimize energy planning in Africa and forecasting energy consumptions. The dashboard can provide: 1. Insights into energy consumption trends. 2. Recommendations for renewable energy projects. 3. Visual tools for policymakers to identify regions needing energy infrastructure development. ### Key Features: 1. **Data Collection and Preprocessing** 2. **Exploratory Data Analysis** 3. **Data Analysis Dashboard** 4. **Modeling and Forecasting** 5. **Web Application** ## Project Structure ```plaintext African-Energy-Optimization/ ├── data/ | ├── Comsumption_Data/ | ├── Production_Data/ | ├── Processed_Data/ | └── World Energy Overview.csv │ ├── notebooks/ | ├── preprocessing.ipynb # notebook for preprocessing the data for Afrocan energy consumption and production | ├── eda.ipynb # notebook for Exploratory Data │ └── README.md # Description of notebooks directory ├── tests/ │ └── __init__.py ├── scripts/ | ├── __init__.py │ ├── preprocess.py # Script data processing, cleaning │ └── README.md # Description of scripts directory │ ├── requirements.txt # Python dependencies ├── README.md # Project documentation └── .gitignore …