Overview
Digital twin surrogate model for wind farm wake and curtailment scenario exploration.
digital-twinwindsurrogate
Confidence
81%
Blended from documentation depth, benchmark presence, and cross-source corroboration.
Significance score: 79/100
Source metadata
- Primary source
- Hugging Face
- Last updated
- 2026-04-24
- Domain
- Generative AI
Maturity assessment
Experimental
Assessment combines release cadence, maintainer responsiveness, and sector-specific adoption proxies.
AI-generated summary
Digital twin surrogate model for wind farm wake and curtailment scenario exploration.
Utility relevance reasoning
Scenario analysis for renewable curtailment mitigation and sustainability reporting narratives.
Related technologies
- UtilityGPT
Generative AI
- SolarYield Predictor
Time Series Forecasting
- EmissionsTrack CV
Computer Vision
Lineage references
Lineage Map- Upstream paper references linked in model card.
- Dataset manifests registered for reproducibility.
Source citations
- RenewableTwin AI README — installation, data expectations, and evaluation metrics.
- Model documentation — hyperparameters and reproducibility notes.
- Mobiloitte internal rubric MOBILOITTE-AIR-UR-02 — utility relevance scoring dimensions.
Timeline of changes
- 2026-05-02Maturity reassessed from Emerging → Growth based on adoption signals.
- 2026-04-18Utility relevance mapping refreshed for smart grid sector weighting.