A double-stage method for improving long-term numerical wind speed prediction via chaos-noise decoupling
ABSTRACT Reliable 24–48 hr long-term wind-speed forecasts are critical for the safe operation of energy systems. Wind variability is shaped by chaotic dynamics and predictability limits, motivating chaos-aware modeling of Weather Research and Forecasting (WRF) outputs. This paper proposes a double-stage modeling method...