L. Di Persio

Long-Term Wind Power Forecasting via a Hybrid Statistical–Stochastic–Machine Learning Approach

Accurate long-term wind-power forecasting benefits from probabilistic scenario generation that reflects both the temporal dependence of wind conditions and the uncertainty associated with distributional parameters. This study develops a hybrid Statistical–Stochastic–Machine Learning framework for month-ahead wind-power...