Advancing-short-term-wind-power-forecasting-by-AI-driven-models-for-improved-accuracy
PublicThis study introduces a comprehensive AI-driven framework for short-term wind power forecasting using SCADA data, combining robust preprocessing, anomaly detection, and a comparative analysis of ML & DL models including XGBoost, LightGBM, Transformers, and Temporal Fusion Transformer.