Wind Power Forecasting Based on Time Series Autoregressive Moving Average Model Taking into Account the Effect of Wind Speed Dispersion

The increasing penetration of wind power into modern power systems introduces operational challenges due to the inherent variability and uncertainty of wind-driven generation.This study aims to develop and validate a probabilistically consistent short-term wind power forecasting framework that explicitly accounts for wind speed dispersion and forecast uncertainty.The scientific novelty of