Ho-Tuan Le

SCADA-based feature analysis and Bayesian-optimized machine learning for short-term turbine-level wind power forecasting

Most wind power forecasting studies rely primarily on historical turbine output time series, while environmental and operational parameters remain insufficiently explored. This paper investigates short-term turbine-level wind power forecasting using SCADA data collected from a wind farm in Vietnam, incorporating both e...