EASF-Net is an intelligent renewable energy forecasting prototype built for grid operations.
It uses a dual-model architecture: one model predicts generation, and another learns forecast error to self-correct results.
The system produces uncertainty bands and a trust score so operators can judge prediction reliability.
Trust levels are mapped to actionable statuses (GREEN, AMBER, RED) for faster operational decisions.
It also includes explainability to show which features drove each forecast change.
EASF-Net supports plant-level and cluster-level forecasting with weather-driven scenario simulation.
Overall, it is designed as a practical decision-support pipeline, not just a standalone prediction model.
