JBS implemented an advanced AI solar forecasting solution tailored for utility-scale energy trading. This included:
Specialized Peak & Non-Peak Forecasting Models
Separate solar power forecasting models were trained for different solar load windows. These models accounted for irradiation variability, cloud cover, and historical site behavior—greatly enhancing accuracy.
Unified AI Solar Prediction Framework
The models were integrated into a single, scalable solar energy forecasting platform, producing consistent day-ahead solar forecasts, intraday predictions, and threshold alerts.
Threshold-Based Real-Time Alerts
The system was equipped with real-time deviation detection, triggering automated alerts when generation dropped below or exceeded critical values—enabling proactive energy trading decisions.
Advanced Forecasting Techniques
Leveraged XGBoost, classification models, and time series regression to predict directional changes in solar output with high precision.