A Probabilistic Runoff Prediction Model Based on Improved Long Short-Term Memory and Interval Correction-Reference-Cited by-同舟云学术

A Probabilistic Runoff Prediction Model Based on Improved Long Short-Term Memory and Interval Correction

Published:2024-08 Issue:4 Volume:29 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Zhu Shuang¹^ORCID,Zhang Maoyu²,Wang Chao³,Guo Jun⁴,Chen Xudong⁵,Xie Mengfei⁶

Affiliation:

1. Professor, School of Geography and Information Engineering, China Univ. of Geosciences, Wuhan 430074, China; Professor, Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China Univ. of Geosciences, Wuhan 430074, China. ORCID: .

2. Master’s Candidate, School of Geography and Information Engineering, China Univ. of Geosciences, Wuhan 430074, China; Professor, Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China Univ. of Geosciences, Wuhan 430074, China.

3. Professor, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China (corresponding author).

4. Professor, School of Civil and Hydraulic Engineering, Huazhong Univ. of Science and Technology, Luoyu Rd. 1037, Wuhan 430074, China.

5. Professor, Dept. 8, North Automatic Control Technology Institute, Tiyu Rd. 351, Taiyuan 030000, China.

6. Professor, Dept. of Power Trading, Kunming Power Exchange Center, Tuodong Rd. 73, Kunming 650011, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JHYEFF.HEENG-6091

Reference58 articles.

1. Long-Term Streamflow Prediction Using Hybrid SVR-ANN Based on Bayesian Model Averaging

2. Evaluating the effect of dataset size on predictive model using supervised learning technique;Abdulraheem A.;Int. J. Software Eng. Comput. Sci. (IJSECS),2015

3. Modeling the optimal dosage of coagulants in water treatment plants using various machine learning models

4. Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

5. An analog ensemble for short-term probabilistic solar power forecast

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