Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy
Machine learning models (e.g., neural networks) achieve high accuracy in wind power forecasting, but they are usually regarded as black boxes that lack interpretability.To address this issue, the paper proposes a glass-box model that combines high accuracy with transparency for wind power forecasting.Specifically, the core is to sum up the feature