Enhanced hybrid residual learning framework for robust wind turbine power prediction using machine learning
Mohammad Y. Mhawiash; Bashar S. Khassawneh; Kamal Alieyan; Issa Alsmadi; Mohammad Bani Younes; Mohamed S. Sawah · DOAJ Open Access Articles
Wind turbine power generation for any nation is always a priority since its impact on power grids and imbalance the sustainability parameters. This research work captures the variation in wind resource variability by implementing advanced machine learning models for short-term power forecasting using SCADA data. Here, a fresh framework was developed to focus…