Improved runoff forecasting based on time-varying model averaging method and deep learning

• Published in: PloS one Vol. 17; no. 9
• Main Authors: Jinlou Ran, Yang Cui, Kai Xiang, Yuchen Song
• Format: Journal Article
• Language: English
• Published: Public Library of Science (PLoS) 15.09.2022

In order to improve the accuracy and stability of runoff prediction. This study proposed a dynamic model averaging method with Time-varying weight (TV-DMA). Using this method, an integrated prediction model framework for runoff prediction was constructed. The framework determines the main variables...