Product Strategy

• Primary users: grid planners and energy analysts; secondary: operations.
• Value: reduced curtailment and energy waste; improved renewable integration.
• Metrics: RMSE, MAPE, avoided curtailment, user adoption, SLA adherence.
• Roadmap: pilot → scale to regions → API for partners → optimization add-ons.

Back to overview

User Personas

• Grid Planner: plans day-ahead operations; needs scenario analysis and exportable forecasts.
• Energy Analyst: validates model performance; needs feature attributions and backtests.
• Operations: monitors live forecasts; needs reliable API/SLA and clear alerts.

KPIs

• Forecast Accuracy: RMSE / MAPE by horizon; target ≤ previous baseline −10%.
• Operational Impact: avoided curtailment (%), reduced peak deviations (%).
• Reliability: API uptime ≥ 99.7%, P95 latency ≤ 200 ms.
• Adoption: monthly active analyst users, # of automated recommendations accepted.

Deployment Model

• Containerized FastAPI service with versioned model artifacts; /forecast and /explain endpoints.
• Daily retraining job and drift monitoring; alerts route to on-call with playbooks.
• Blue/green or canary updates to minimize operational risk.

Roadmap

1. Pilot (single region): validate KPIs and user workflow.
2. Scale-out: multi-region support and cost-optimized inference.
3. Partner API: external consumers (DER, storage providers) via authenticated access.
4. Optimization add-ons: recommender constraints, DR scheduling, storage dispatch.

References

• Technical Deep-Dive: Model & pipeline
• Management Perspective: Delivery & risks
• Final report: Google Doc