Accurate wind speed forecasting through ensemble models: A real-world case study in Sfax, Tunisia
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DOI: 10.1177/0309524x251395411
Abstract: The inherent variability of wind energy necessitates precise forecasting for its effective grid integration. This study investigates machine learning techniques for wind speed forecasting, applying Random Forest, AdaBoost, and Support Vector Regression (SVR), alongside a… read more here.
Keywords: accurate wind; wind speed; speed forecasting; ensemble models ... See more keywords