Bayesian optimization based dynamic ensemble for time series forecasting

Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang

Abstract: Highlights•An adaptive forecast combination of highly diversified models is proposed.•The hyperparameter tuning is conducted through Bayesian optimization.•Our model significantly outperforms the classic and latest methods on extensive datasets.