Guo-Zhi Yang

An Ensemble Learning Approach for Wind Power Prediction Using Hybrid Deep Learning

Wind power prediction is important for utility grid energy scheduling. However, prediction accuracy suffers from poor data quality and limited feature engineering. Therefore, this paper proposes a data-driven ensemble learning framework to deal with these issues. First, the paper divides raw data into four seasonal gro...