AI
FORECASTING TERMINAL
XGBoost
v3.2
Prediction Engine
current
72-Hour Demand & Emissions Forecast
48H HISTORY + 72H AHEAD
Historical (solid)
AI Forecast (dashed)
95% Confidence Band
Peak forecast:
22,140 MW
@ 20:30
Current
Model
XGBoost
Regressor v3.2
256
trees
depth:
8
lr:
0.05
Model
Accuracy
94.2
%
R² on 30-day holdout validation
MAE
312 MW
MAPE
1.8%
Last
Retrained
2
hours ago
Auto-retrain on fresh CAMMESA
dispatch
Feature Importance — Drivers
SHAP VALUES
Temperature
Ambient
temperature drives heating/cooling load
Industrial Activity
Manufacturing
output and heavy industry cycles
Seasonality
Day-of-week and
monthly seasonal patterns
Wind Generation
Patagonia wind output
offsets thermal dispatch
Grid Frequency
System frequency
deviations indicate stress