Prediction of hourly inflow for reservoirs at mountain catchments using residual error data and multiple-ahead correction technique

Prediction of hourly inflow for reservoirs at mountain catchments using residual error data and multiple-ahead correction technique

This study coupled the ensemble learning method with residual error (RE) correction to propose a more accurate hydrologic model for the time-series prediction of the reservoir inflow. To enhance the prediction capability of the model in mountain catchments, three deep learning (DL) models, namely th...

Full description

Bibliographic Details
Main Authors: Wen-Dar Guo, Wei-Bo Chen, Chih-Hsin Chang
Format: Article
Language:English
Published: IWA Publishing 2023-09-01
Series:Hydrology Research
Subjects:
convolutional neural network
deep learning
ensemble learning
long short-term memory network
reservoir inflow
residual error correction
Online Access:http://hr.iwaponline.com/content/54/9/1072

Internet

http://hr.iwaponline.com/content/54/9/1072

Similar Items