End User
SWW
Description
The AI-based State Estimation Forecast service delivers 0-48 hour predictions of the full electrical state of a distribution grid, combining AI load/generation forecasting with a physical power-flow solver to produce future values of active/reactive power flows, voltage magnitudes, and asset utilisation for every network component. The service enables DSOs to anticipate congestion, thermal overloads, or voltage violations before they occur.
Core Capabilities
Monitoring & Anomaly Detection
Predictive & Prescriptive Analytics
Business Need
Regulatory frameworks requiring proactive grid management (e.g., Germany's Redispatch 2.0) create a need for foresight beyond real-time observability. Without 48-hour state forecasts, DSOs cannot validate whether planned flexibility schedules will trigger grid constraints or evaluate alternative dispatch strategies in advance — leaving them reactive rather than proactive.
Key Performance Indicators
MAE/MAPE for voltage magnitudes and branch loading percentages
Event-prediction recall: proportion of actual grid violations flagged at least 4h in advance
Response time between new schedule ingestion and updated 48h forecast availability
Compliance with Redispatch 2.0 scheduling validation requirements
Data Provided
ForecastGridState JSON per 15-min step: node voltage forecasts with violation flags, branch power flows with thermal overload flags
AlertSummary: earliest predicted violation time and affected components
Inputs: static network topology, asset metadata, planned schedules, real-time state snapshot, weather forecasts
TEF
TEF DSO