M. Younes

Enhanced hybrid residual learning framework for robust wind turbine power prediction using machine learning

This research work captures the variation in wind resource variability by implementing advanced machine learning models for short-term power forecasting using SCADA data using a fresh framework to focus on parameters such as aerodynamic behavior, temporal patterns, and overall regime.