Google Summer of Code 2024: Implementing Temporal Fusion Transformer Model for Forecasting of Open Source Quartz Solar Forecast Data
The project idea and implementation are explained here: Gsoc Open Quartz Gist
├── python_code <- Contains all Python Jupyter notebooks for dataset preparation, data processing, training, and inference of the model.
├── result_data <- Contains all dataset files used for data analysis, training, and testing of the model.
├── requirements <- Contains all requirement files needed to run this project.
├── README.md <- The README for developers using this project.
Clone the project
https://github.com/openclimatefix/gsoc-open-quartz.git
Use requirements.txt
to install the dependencies.
pip install -r requirements.txt
Run the tft_forecast_model.ipynb
to train the model.