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 gap kad?n ayakkab? 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

Objective: This systematic review and meta-analysis aimed to establish the most appropriate posterior reference point on the tragus of the ear for orienting the occlusal plane in complete denture prosthesis, addressing the existing confusion regarding this crucial anatomical landmark.Methods: A comprehensive literature search identified 20 relevant