Combining two-stage decomposition based machine learning methods for annual runoff forecasting

A simple machine learning approach to model real-time streamflow using satellite inputs: Demonstration in a data scarce catchment

(2021) Ashish Kumar et al.   JOURNAL OF HYDROLOGY

Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hydro-climatic regions across the CONUS

(2021) Taereem Kim et al.   JOURNAL OF HYDROLOGY

Exploring a Long Short-Term Memory based Encoder-Decoder Framework for Multi-Step-Ahead Flood Forecasting

(2020) I-Feng Kao et al.   JOURNAL OF HYDROLOGY

Development of a Three-Stage Hybrid Model by Utilizing a Two-Stage Signal Decomposition Methodology and Machine Learning Approach to Predict Monthly Runoff at Swat River Basin, Pakistan

(2020) Muhammad Sibtain et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

Deep learning convolutional neural network in rainfall–runoff modelling

(2020) Song Pham Van et al.   JOURNAL OF HYDROINFORMATICS

Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

(2020) Mumtaz Ali et al.   JOURNAL OF HYDROLOGY

The utility of information flow in formulating discharge forecast models: a case study from an arid snow‐dominated catchment

(2020) Christopher Tennant et al.   WATER RESOURCES RESEARCH

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

(2020) Kangling Lin et al.   HYDROLOGY RESEARCH

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

A hybrid of Random Forest and Deep Auto-Encoder with support vector regression methods for accuracy improvement and uncertainty reduction of long-term streamflow prediction

(2020) Mahdi Abbasi et al.   JOURNAL OF HYDROLOGY

Explore an evolutionary recurrent ANFIS for modelling multi-step-ahead flood forecasts

(2019) Yanlai Zhou et al.   JOURNAL OF HYDROLOGY

Daily Runoff Forecasting Using a Hybrid Model Based on Variational Mode Decomposition and Deep Neural Networks

(2019) Xinxin He et al.   WATER RESOURCES MANAGEMENT

Study of Hybrid Neurofuzzy Inference System for Forecasting Flood Event Vulnerability in Indonesia

(2019) Sri Supatmi et al.   Computational Intelligence and Neuroscience

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

(2019) Xiaohu Wen et al.   JOURNAL OF HYDROLOGY

Daily river flow forecasting using ensemble empirical mode decomposition based heuristic regression models: Application on the perennial rivers in Iran and South Korea

(2019) Mohammad Rezaie-Balf et al.   JOURNAL OF HYDROLOGY

Novel forecasting models for immediate-short-term to long-term influent flow prediction by combining ANFIS and grey wolf optimization

(2019) Majid Dehghani et al.   JOURNAL OF HYDROLOGY

Hybrid forecasting model for non-stationary daily runoff series: A case study in the Han River Basin, China

(2019) Tuo Xie et al.   JOURNAL OF HYDROLOGY

Streamflow and rainfall forecasting by two long short-term memory-based models

(2019) Lingling Ni et al.   JOURNAL OF HYDROLOGY

Effect of nitrifiers community on fouling mitigation and nitrification efficiency in a membrane bioreactor

(2018) Arsalan Sepehri et al.   CHEMICAL ENGINEERING AND PROCESSING

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

(2018) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting based on hidden Markov model and Gaussian Mixture Regression

(2018) Yongqi Liu et al.   JOURNAL OF HYDROLOGY

Monthly runoff forecasting based on LSTM–ALO model

(2018) Xiaohui Yuan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A data-driven model based on Fourier transform and support vector regression for monthly reservoir inflow forecasting

(2018) Xiang Yu et al.   Journal of Hydro-environment Research

Streamflow Forecasting Using Four Wavelet Transformation Combinations Approaches with Data-Driven Models: A Comparative Study

(2018) Sinan Jasim Hadi et al.   WATER RESOURCES MANAGEMENT

A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine

(2017) Deyun Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Application du réseau des neurones artificiels à la prévision des débits horaires: Cas du bassin versant de l’Eure, France

(2016) Ouissem Kharroubi et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network

(2016) Greer B. Humphrey et al.   JOURNAL OF HYDROLOGY

Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition

(2015) Wen-chuan Wang et al.   ENVIRONMENTAL RESEARCH

Streamflow Prediction using a Forecast Combining System

(2015) Julian David Rojo et al.   IEEE Latin America Transactions

Forecasting daily river flows using nonlinear time series models

(2015) Esmail Amiri   JOURNAL OF HYDROLOGY

Are hybrid models integrated with data preprocessing techniques suitable for monthly streamflow forecasting? Some experiment evidences

(2015) Xiaoli Zhang et al.   JOURNAL OF HYDROLOGY

Auto Regressive and Ensemble Empirical Mode Decomposition Hybrid Model for Annual Runoff Forecasting

(2015) Xue-hua Zhao et al.   WATER RESOURCES MANAGEMENT

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Real-time flood forecast using the coupling support vector machine and data assimilation method

(2014) Xiao-Li Li et al.   JOURNAL OF HYDROINFORMATICS

Evaluating a coupled discrete wavelet transform and support vector regression for daily and monthly streamflow forecasting

(2014) Zhiyong Liu et al.   JOURNAL OF HYDROLOGY

Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy

(2014) Seyed Ahmad Akrami et al.   NEURAL COMPUTING & APPLICATIONS

Typhoon flood forecasting using integrated two-stage Support Vector Machine approach

(2013) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Global flood risk under climate change

(2013) Yukiko Hirabayashi et al.   Nature Climate Change

Using large-scale climatic patterns for improving long lead time streamflow forecasts for Gunnison and San Juan River Basins

(2012) Ajay Kalra et al.   HYDROLOGICAL PROCESSES

Forecast Modeling of Monthly Runoff with Adaptive Neural Fuzzy Inference System and Wavelet Analysis

(2011) Li Ren et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction

(2011) R. Noori et al.   JOURNAL OF HYDROLOGY

Predictive uncertainty of chaotic daily streamflow using ensemble wavelet networks approach

(2011) C. T. Dhanya et al.   WATER RESOURCES RESEARCH

Wavelet regression model for short-term streamflow forecasting

(2010) Ozgur Kisi   JOURNAL OF HYDROLOGY

Estimation of ice thickness on lakes using artificial neural network ensembles

(2010) I. Zaier et al.   JOURNAL OF HYDROLOGY

Runoff forecasting for an asphalt plane by Artificial Neural Networks and comparisons with kinematic wave and autoregressive moving average models

(2010) Lloyd H.C. Chua et al.   JOURNAL OF HYDROLOGY

Markov-switching model for nonstationary runoff conditioned on El Niño information

(2010) E. Gelati et al.   WATER RESOURCES RESEARCH

Spatial Variation and Trends in PDSI and SPI Indices and Their Relation to Streamflow in 10 Large Regions of China

(2009) Jianqing Zhai et al.   JOURNAL OF CLIMATE