This project aims to accurately forecast solar power generation using historical weather data and solar panel output data. Solar energy prediction helps in efficient grid management, balancing supply and demand, and enhancing the integration of renewable energy sources.
The data used in this project is from the Solar Power Generation Data on Kaggle. This dataset includes weather and power output information from two solar plants.
To run this project, you will need:
- Python 3.11.1+
- Jupyter Notebook
- Dependencies listed in requirements.txt
Install the dependencies:
pip install -r requirements.txt-
Clone the repository:
git clone https://github.com/karami-mehdi/SolarPowerGenerationAnalysis.git cd SolarPowerGenerationAnalysis -
Run the Notebook:
Open solar_power_generation_analysis.ipynb in Jupyter Notebook.
Contributions are welcome! Please feel free to submit a Pull Request or open an Issue if you find any bugs or have suggestions for improvements.