IEC 61400-25-4 Wind Forecast Interface Compliance Template
The IEC 61400-25-4 Wind Forecast Interface Compliance Template is an Excel-based resource that implements the data modeling, communication protocols, and conformance requirements specified in IEC 61400-25-4 for exchanging wind power forecast information between wind farms, grid operators, and forecasting systems. It ensures interoperability by mapping forecast data (e.g., time series, uncertainty metrics, metadata) to standardized logical nodes, data attributes, and Common Data Classes (CDCs) defined in the standard. Designed for AI-augmented renewable forecasting infrastructure, it supports automated validation, schema alignment, and integration with IEC 61850-based SCADA and EMS platforms.
📖 Overview
📑 Key Components
🎯 Applications
- ✓ Grid operator dispatch planning with certified forecast inputs
- ✓ Third-party forecasting vendor certification and onboarding
- ✓ Digital twin synchronization for wind farm performance analytics
📐 Key Formulas
Normalized Root Mean Square Error (NRMSE)
NRMSE = \frac{\sqrt{\frac{1}{n}\sum_{i=1}^{n}(y_i - \hat{y}_i)^2}}{y_{max} - y_{min}}
Quantifies forecast accuracy normalized by the observed power range; required for IEC 61400-25-4 forecast quality reporting
Pinball Loss (for Quantile Forecasts)
L_\tau(y, \hat{q}_\tau) = (y - \hat{q}_\tau) \cdot (\tau - \mathbb{I}(y < \hat{q}_\tau))
Evaluates calibration of probabilistic wind forecasts at quantile level τ; used to validate uncertainty representation per IEC 61400-25-4 Annex C
Forecast Horizon Consistency Check
Δt = t_{forecast} - t_{issue}
Verifies that reported forecast issuance time (t_issue) and valid time (t_forecast) align with declared horizon (e.g., 15 min–72 h); enforced in template validation logic