End User
EMOT
Description
The Wind Generation Forecasting service provides high-resolution short-term and day-ahead wind power production forecasts for EV-integrated energy communities, supporting battery scheduling and — when EV telemetry becomes available — EV-aware flexibility coordination. Currently deployed for the Beckerich energy community with a 4.2 MW wind asset and 60 kW/160 kWh battery, the service is designed to be battery-ready and EV-ready.
Core Capabilities
Predictive & Prescriptive Analytics
Business Need
The Beckerich community's primary flexibility asset is a stationary battery that must be charged when wind generation is expected to be high and discharged during periods of lower availability. Without accurate wind forecasts, battery scheduling is reactive and inefficient, leading to missed self-consumption opportunities, export volatility, and increased peak imports. The service provides the forecasting layer needed for proactive, wind-aligned battery operation.
Key Performance Indicators
MAE, RMSE, MAPE, and forecast bias at multiple horizons (1h, 6h, day-ahead, 48h)
Probabilistic forecast coverage at declared uncertainty bands
Endpoint availability and response time
Indirect community-level value: reduced export volatility and improved renewable capture
Data Provided
15-minute time-indexed wind power forecasts per horizon
Probabilistic outputs (lower, median, upper bounds where enabled)
Forecast metadata: run ID, model version, input data coverage indicators
Inputs: wind turbine SCADA (power, reactive power, availability, curtailment, wind speed, rotor speed) + weather forecasts
TEF
TEF EV