Page 228 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

• REQ-02: The AI model must measurably improve solar PV forecasts over using satellite
data alone.
• REQ-03: The system must run efficiently and use minimal compute resources for easy
deployment and real-time operation.

4 Sequence Diagram

Sequence Diagram link

5 References

[1] Travers, Dan, et al. 2024. “Cloudcasting for Solar Forecasting.” Climate Change AI – ICLR
2024. https:// github .com/ openclimatefix/ cloudcasting -app.
[2] Travers, Dan. 2023. “ICEM 2023 Presentation.” https:// github .com/ openclimatefix/ sat
_pred.
[3] Travers, Dan. 2024. “ICLR 2024 Conference Talk.” https:// github .com/ alan -turing -institute/
cloudcasting.
[4] Google Cloud Platform. n.d. EUMETSAT SEVIRI RSS HRV UK Dataset on BigQuery Public
Data. https:// console .cloud .google .com/ marketplace/ product/ bigquery -public -data/
eumetsat -seviri -rss -hrv -uk.
[5] Open Climate Fix. n.d. Cloudcasting App Repository. https:// github .com/ openclimatefix/
cloudcasting -app.
[6] Open Climate Fix. n.d. SAT Pred Repository. https:// github .com/ openclimatefix/ sat _pred.
[7] Alan Turing Institute. n.d. Cloudcasting Project Repository. https:// github .com/ alan -turing
-institute/ cloudcasting.

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