Simulation and prediction of water temperature in a water transfer channel during winter periods using a new approach based on the wavelet noise reduction-deep learning method
By: Tiejie Cheng, Jun Wang, Jueyi Sui, Feihu Song, Hui Fu, Tao Wang and Xinlei Guo
Authors
Tiejie Cheng
School of Civil Engineering, Hefei University of Technology, Anhui, China
Jun Wang
School of Civil Engineering, Hefei University of Technology, Anhui, China
Feihu Song
School of Civil Engineering, Hefei University of Technology, Anhui, China
Hui Fu
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Tao Wang
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Xinlei Guo
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China
Language: English
Page range: 49 - 63
Submitted on: Feb 20, 2023
Accepted on: Jun 15, 2023
Published on: Feb 8, 2024
Published by: Slovak Academy of Sciences, Institute of Hydrology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
© 2024 Tiejie Cheng, Jun Wang, Jueyi Sui, Feihu Song, Hui Fu, Tao Wang, Xinlei Guo, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.