Runoff Forecasting | List of Frontiers open access articles

Original Research

Published on 04 Feb 2022

Runoff Forecasting Using Machine-Learning Methods: Case Study in the Middle Reaches of Xijiang River

in Data-driven Climate Sciences

Lu Xiao
Ming Zhong
Dawei Zha

Frontiers in Big Data

doi 10.3389/fdata.2021.752406

5,948 views
21 citations

Brief Research Report

Published on 22 Jul 2022

Research on generation scheduling mechanism of interconnected power system based on runoff forecast

in Smart Grids

Shiming Jiang
Ping wu
Xuhong Peng
Yibo Tang

Frontiers in Energy Research

doi 10.3389/fenrg.2022.964516

1,491 views

Methods

Published on 29 Mar 2021

Daily Runoff Forecasting Using Ensemble Empirical Mode Decomposition and Long Short-Term Memory

in Hydrosphere

Ruifang Yuan
Siyu Cai
Weihong Liao
Xiaohui Lei
Yunhui Zhang
Zhaokai Yin
Gongbo Ding
Jia Wang
Yi Xu

Frontiers in Earth Science

doi 10.3389/feart.2021.621780

4,561 views
35 citations

Original Research

Published on 19 Jul 2022

A Hybrid Model of Ensemble Empirical Mode Decomposition and Sparrow Search Algorithm-Based Long Short-Term Memory Neural Networks for Monthly Runoff Forecasting

in Environmental Informatics and Remote Sensing

Bao-Jian Li
Jing-Xin Yang
Qing-Yuan Luo
Wen-Chuan Wang
Tai-Heng Zhang
Ling Zhong
Guo-Liang Sun

Frontiers in Environmental Science

doi 10.3389/fenvs.2022.909682

2,438 views
15 citations

Original Research

Published on 25 Sep 2023

Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin

in Water and Climate

María José Merizalde
Paul Muñoz
Gerald Corzo
David F. Muñoz
Esteban Samaniego
Rolando Célleri

Frontiers in Water

doi 10.3389/frwa.2023.1233899

5,403 views
13 citations

Original Research

Published on 17 Apr 2023

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

in Water and Artificial Intelligence

Corinna Frank
Marc Rußwurm
Javier Fluixa-Sanmartin
Devis Tuia

Frontiers in Water

doi 10.3389/frwa.2023.1126310

3,671 views
6 citations

Original Research

Published on 21 Jan 2020

Mapping Snowmelt Progression in the Upper Indus Basin With Synthetic Aperture Radar

in Cryospheric Sciences

Jewell Lund
Richard R. Forster
Summer B. Rupper
Elias J. Deeb
H. P. Marshall
Muhammad Zia Hashmi
Evan Burgess

Frontiers in Earth Science

doi 10.3389/feart.2019.00318

6,355 views
30 citations

Articles

Runoff Forecasting Using Machine-Learning Methods: Case Study in the Middle Reaches of Xijiang River

Research on generation scheduling mechanism of interconnected power system based on runoff forecast

Daily Runoff Forecasting Using Ensemble Empirical Mode Decomposition and Long Short-Term Memory

A Hybrid Model of Ensemble Empirical Mode Decomposition and Sparrow Search Algorithm-Based Long Short-Term Memory Neural Networks for Monthly Runoff Forecasting

Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin

Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network

Mapping Snowmelt Progression in the Upper Indus Basin With Synthetic Aperture Radar