Bayesian optimization based dynamic ensemble for time series forecasting

Bayesian optimization based dynamic ensemble for time series forecasting

Among various time series (TS) forecasting methods, ensemble forecast is extensively acknowledged as a promising ensemble approach achieving great success in research and industry. Due to the high diversification of individual model assumptions, heterogeneous information fusion contributes to genera...

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Bibliographic Details
Main Authors:	Du, Liang, Gao, Ruobin, Suganthan, Ponnuthurai Nagaratnam, Wang, David Zhi Wei
Other Authors:	School of Civil and Environmental Engineering
Format:	Journal Article
Language:	English
Published:	2022
Subjects:	Engineering::Civil engineering Time Series Forecasting Forecast Combination
Online Access:	https://hdl.handle.net/10356/163881

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