KishoreB25/Advancing-short-term-wind-power-forecasting-by-AI-driven-models-for-improved-accuracy
This 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.
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Aug 14, 2025
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