A complementary fused method using GRU and XGBoost models for long-term solar energy hourly forecasting

Yaojian Xu, Shaifeng Zheng, Qingling Zhu, Ka-Chun Wong, Xu Wang, Qiuzhen Lin

Abstract: Highlights•Ensembled XGBoost and GRU models for long-term solar energy hourly forecasting.•A well-designed feature engineering is introduced in this study.•Achieved first place in the UNiLAB Algorithm Competition Track 3 competition.