Ingest horizons
Sub-second PMU slices for stability studies; 5-minute SCADA rollup; AMI lag awareness; irradiance ensembles.
Use Case — Energy / Grid Intelligence
Grid Edge AI Flexibility Orchestration
A metropolitan utility balancing rooftop solar volatility, commuter EV ramps, ageing transformers, wholesale price spikes explores AI—not to fantasise about autopilot grids—but to reduce operator cognitive overload, quantify flexibility bids transparently for regulators, and shrink curtailment waste.
Forecast ensemblesExplainable dispatch cuesBreaker policySettlement proofsClimate scenario stressEMS integration
Operational loop
Model governance
Different SLA than chatbots—grid models require seasonal revalidation, blackout scenario simulation alignment with planning studies.
Human factors
HMI overlays showing confidence cones, dissent signals when contradictory physics heuristics fire—preventing monoculture reliance.
Programme phases
Pilot feeders: shadow scoring only.
Expand: advisory curtailment ordering suggestions.
Industrialise: settlement APIs with audit-friendly logs.
Climate adaptation: embed heat-wave stress ramps into training curricula.