Overview
Unsupervised and semi-supervised anomaly detection over SCADA-aligned telemetry streams.
anomalyscadatelemetry
Confidence
91%
Blended from documentation depth, benchmark presence, and cross-source corroboration.
Significance score: 87/100
Source metadata
- Primary source
- GitHub
- Last updated
- 2026-05-01
- Domain
- Predictive Analytics
Maturity assessment
Growth
Assessment combines release cadence, maintainer responsiveness, and sector-specific adoption proxies.
AI-generated summary
Unsupervised and semi-supervised anomaly detection over SCADA-aligned telemetry streams.
Utility relevance reasoning
Early detection of abnormal grid behavior and equipment stress signals for control room analysts.
Related technologies
- GridForecastNet
Time Series Forecasting
- TransformerGrid
Optimization
- PumpPredict AI
Predictive Analytics
- GridEdge Optimizer
Edge AI
Lineage references
Lineage Map- Upstream paper references linked in model card.
- Dataset manifests registered for reproducibility.
Source citations
- AnomalyGuard 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.