J. C. Castillo

ARLOS: Adaptive Forecasting and Risk-Calibrated Load Operation in Distribution Substations Under Distribution Shift

Forecast accuracy alone is an incomplete proxy for operational value when load distributions change. This paper presents ARLOS, an auditable forecast–uncertainty–decision framework that combines static and adaptive XGBoost forecasts, rolling performance monitoring, residual-bootstrap uncertainty, and explicit fixed-mar...