We're building an open-source solar forecasting pipeline to integrate with the OCF's PVNet using publicly available data to predict solar generation at the national level, starting with the UK. Eventually, we aim to achieve global coverage! 🌍
Tasks include:
- Identifying gridded Numerical Weather Prediction (NWP) datasets.
- Downloading and transforming NWP data into the preferred Zarr format.
- Acquiring solar generation target data via APIs (e.g., PVlive's solar generation and capacity API).
- Creating pipelines for batching data and ML model experimentation.
- Deploying the model to the cloud.
We will begin in the UK to benchmark against OCF results and expand to other countries as the project progresses. 😄
We are looking for volunteers with the following skills:
- Data Engineers: For data acquisition, curation,transformation, and storage.
- Machine Learning Enthusiasts: To experiment, train, and evaluate models.
- Software Developers: Especially those with Python expertise.
- Cloud Computing Experts: For deploying and scaling the model.
- DevOps Specialists: To streamline workflows and maintain infrastructure.
Ready to dive in? Check out our Getting Started Guide for an introduction to the key concepts and how you can contribute effectively.
If you're passionate about renewable energy, open-source collaboration, and sustainability, please join us in advancing solar forecasting solutions for a better future! 🌍☀️✨
- PR's are welcome! See the Organisation Profile for details on contributing
- Find out about our other projects in the here
- Check out the OCF blog for updates
- Follow OCF on LinkedIn
Explore our project board to track progress and tasks: Open Climate Fix Solar Project Board
Thanks goes to these wonderful people (emoji key):
 Peter Dudfield 📆 |
 Sukhil Patel 📆 |
 Jack Camier 🤔 |
This project follows the all-contributors specification. Contributions of any kind welcome!
Part of the Open Climate Fix community.
This project is licensed under the MIT License. See the LICENSE file for details.
