End User
CPO
Description
The Performance Evaluation service quantifies forecasting performance for offshore renewable energy assets by comparing forecasted and measured production. It identifies systematic errors, detects bias, and provides standardised performance metrics to support continuous improvement of forecasting models. The service supports both real-time monitoring and historical back testing of forecast accuracy.
Core Capabilities
Monitoring & Anomaly Detection
Predictive & Prescriptive Analytics
Business Need
Energy analysts, operators, and system operators require transparent, standardised assessment of forecast quality to detect systematic bias, identify error patterns, and improve model reliability over time. Without structured performance tracking, forecast accuracy deteriorates unnoticed and operational decisions are made with unquantified uncertainty.
Key Performance Indicators
Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and forecast bias
Temporal breakdowns of performance across operating conditions
API availability and consistency of repeated evaluation results
Handling of missing or invalid data with appropriate exclusion and logging
Data Provided
Time-indexed error series and aggregated performance metrics (MAE, RMSE, bias)
Temporal performance breakdowns by period or operating condition
TEF
TEF RES