Stepwise decomposition-integration-prediction framework for runoff forecasting considering boundary correction

New double decomposition deep learning methods for river water level forecasting

(2022) A.A. Masrur Ahmed et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction

(2021) Houtian He et al.   APPLIED SOFT COMPUTING

Simulating the hydrological regime of the snow fed and glaciarised Gilgit Basin in the Upper Indus using global precipitation products and a data parsimonious precipitation-runoff model

(2021) Aftab Nazeer et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Capabilities of deep learning models on learning physical relationships: Case of rainfall-runoff modeling with LSTM

(2021) Kazuki Yokoo et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Hybrid Model Based on Variational Mode Decomposition and Gradient Boosting Regression Tree for Monthly Runoff Forecasting

(2020) Xinxin He et al.   WATER RESOURCES MANAGEMENT

A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

(2020) Zhongrun Xiang et al.   WATER RESOURCES RESEARCH

Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization

(2020) Zhong-kai Feng et al.   JOURNAL OF HYDROLOGY

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

Middle and Long-Term Runoff Probabilistic Forecasting Based on Gaussian Mixture Regression

(2019) Yongqi Liu et al.   WATER RESOURCES MANAGEMENT

Effective passenger flow forecasting using STL and ESN based on two improvement strategies

(2019) Lan Qin et al.   NEUROCOMPUTING

A Hybrid Model for Real-Time Probabilistic Flood Forecasting Using Elman Neural Network with Heterogeneity of Error Distributions

(2019) Xinyu Wan et al.   WATER RESOURCES MANAGEMENT

Development and evaluation of a real-time forecasting framework for daily water quality forecasts for Lake Chaohu to Lead time of six days

(2019) Zhaoliang Peng et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Improved Multi-objective Moth-flame Optimization Algorithm based on R-domination for cascade reservoirs operation

(2019) Zhendong Zhang et al.   JOURNAL OF HYDROLOGY

Correlation Coefficients

(2018) Patrick Schober et al.   ANESTHESIA AND ANALGESIA

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

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

Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework

(2018) John Quilty et al.   JOURNAL OF HYDROLOGY

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 hybrid support vector regression framework for streamflow forecast

(2018) Xiangang Luo et al.   JOURNAL OF HYDROLOGY

Examining the applicability of different sampling techniques in the development of decomposition-based streamflow forecasting models

(2018) Wei Fang et al.   JOURNAL OF HYDROLOGY

Adaptive cost dynamic time warping distance in time series analysis for classification

(2017) Yuan Wan et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

The incorrect usage of singular spectral analysis and discrete wavelet transform in hybrid models to predict hydrological time series

(2017) Kongchang Du et al.   JOURNAL OF HYDROLOGY

A statistical forecast model using the time-scale decomposition technique to predict rainfall during flood period over the middle and lower reaches of the Yangtze River Valley

(2017) Yijia Hu et al.   THEORETICAL AND APPLIED CLIMATOLOGY

On practical challenges of decomposition-based hybrid forecasting algorithms for wind speed and solar irradiation

(2016) Yamin Wang et al.   ENERGY

Additive Model for Monthly Reservoir Inflow Forecast

(2015) Yun Bai et al.   JOURNAL OF HYDROLOGIC ENGINEERING

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

(2015) Xiaoli Zhang et al.   JOURNAL OF HYDROLOGY

Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

(2015) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT

Robust optimization of SVM hyperparameters in the classification of bioactive compounds

(2015) Wojciech M Czarnecki et al.   Journal of Cheminformatics

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

Forecasting climate change impacts and evaluation of adaptation options for maize cropping in the hilly terrain of Himalayas: Sikkim, India

(2014) Proloy Deb et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Predictability of nonstationary time series using wavelet and EMD based ARMA models

(2013) L. Karthikeyan et al.   JOURNAL OF HYDROLOGY

Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir

(2012) Mohammad Valipour et al.   JOURNAL OF HYDROLOGY

Discrete multivariate gray model based boundary extension for bi-dimensional empirical mode decomposition

(2012) Zhi He et al.   SIGNAL PROCESSING

Monthly and seasonal streamflow forecasts using rainfall-runoff modeling and historical weather data

(2011) Enli Wang et al.   WATER RESOURCES RESEARCH

Water Resources Management and Planning under Uncertainty: an Inexact Multistage Joint-Probabilistic Programming Method

(2009) Y. P. Li et al.   WATER RESOURCES MANAGEMENT