Panel: Expanding the OpenSynth Ecosystem: Open Source Data and AI for Power Systems Modelling
summary
OpenSynth expands from synthetic smart‑meter outputs into a repository of grid topologies, generation and evaluation code, claiming usable AI training data while preserving privacy. Deliverables include the Faraday generative model for synthetic smart‑meter data, the Grid‑FM foundation model pre‑trained on power‑flow solutions and IBM’s Data Kit for example generation. Real contributions include RTE 7000 (7,000‑node, 5‑minute topology); organizers plan a 2026 challenge to validate consistency, quality and security of these large, multimodal datasets.
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chapters (10)
- 0:00Introduction and panel overview
- 2:31OpenSynth ecosystem background
- 7:29Smart meter data challenges
- 11:27Expanding OpenSynth scope
- 16:48Real vs synthetic data synergy
- 23:30Digitize tool and grid data
- 28:44Model validation and collaboration
- 33:01Audience Q&A on data trust and taxonomy
- 40:18Audience Q&A on data granularity
- 45:10Closing remarks and resources
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