The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting

The exploration of a Temporal Convolutional Network combined with Encoder-Decoder framework for runoff forecasting

The Temporal Convolutional Network (TCN) and TCN combined with the Encoder-Decoder architecture (TCN-ED) are proposed to forecast runoff in this study. Both models are trained and tested using the hourly data in the Jianxi basin, China. The results indicate that the forecast horizon has a great impa...

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Bibliographic Details
Main Authors: Kangling Lin, Sheng Sheng, Yanlai Zhou, Feng Liu, Zhiyu Li, Hua Chen, Chong-Yu Xu, Jie Chen, Shenglian Guo
Format: Article
Language:English
Published: IWA Publishing 2020-10-01
Series:Hydrology Research
Subjects:
artificial neural network
deep learning
encoder-decoder architecture
runoff forecasting
temporal convolutional network
Online Access:http://hr.iwaponline.com/content/51/5/1136

Internet

http://hr.iwaponline.com/content/51/5/1136

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