Enhancing robustness of monthly streamflow forecasting model using gated recurrent unit based on improved grey wolf optimizer

US natural gas consumption prediction using an improved kernel-based nonlinear extension of the Arps decline model

(2020) Hongfang Lu et al.   ENERGY

LLR: Learning learning rates by LSTM for training neural networks

(2020) Changyong Yu et al.   NEUROCOMPUTING

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

Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks

(2020) Xin Wei et al.   Geoscience Frontiers

Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river

(2020) Thi-Thu-Hong Phan et al.   ADVANCES IN WATER RESOURCES

Occupant-centric miscellaneous electric loads prediction in buildings using state-of-the-art deep learning methods

(2020) Anooshmita Das et al.   APPLIED ENERGY

Heating load prediction based on attention long short term memory: A case study of Xingtai

(2020) Guixiang Xue et al.   ENERGY

Wind speed prediction based on singular spectrum analysis and neural network structural learning

(2020) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model

(2020) Lingling Ni et al.   JOURNAL OF HYDROLOGY

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

Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

(2019) Abolfazl Jaafari et al.   CATENA

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process

(2019) Jinglong Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition

(2019) Mumtaz Ali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy

(2019) Lili Wang et al.   JOURNAL OF HYDROLOGY

Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm

(2019) Wen-jing Niu et al.   APPLIED SOFT COMPUTING

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

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

Ecological operation of cascade hydropower reservoirs by elite-guide gravitational search algorithm with Lévy flight local search and mutation

(2019) Zhong-kai Feng et al.   JOURNAL OF HYDROLOGY

Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm

(2019) Yazid Tikhamarine et al.   JOURNAL OF HYDROLOGY

Multi-stage progressive optimality algorithm and its application in energy storage operation chart optimization of cascade reservoirs

(2018) Zhiqiang Jiang et al.   ENERGY

Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Hydrological and pollution processes in mining area of Fenhe River Basin in China

(2018) Yonggang Yang et al.   ENVIRONMENTAL POLLUTION

Optimal water resource management for sustainable development of the chemical industrial park under multi-uncertainty and multi-pollutant control

(2018) Li He et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Use long short-term memory to enhance Internet of Things for combined sewer overflow monitoring

(2018) Duo Zhang et al.   JOURNAL OF HYDROLOGY

Statistics for sample splitting for the calibration and validation of hydrological models

(2018) Dedi Liu et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

An adaptive dynamic short-term wind speed forecasting model using secondary decomposition and an improved regularized extreme learning machine

(2018) Na Sun et al.   ENERGY

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

(2018) Wei Fang et al.   JOURNAL OF HYDROLOGY

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction

(2017) Mingjing Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Trend and long-range correlation characteristics analysis of runoff in upper Fenhe River basin

(2017) Xuehua Zhao et al.   Water Resources

An EMD-Based Chaotic Least Squares Support Vector Machine Hybrid Model for Annual Runoff Forecasting

(2017) Xuehua Zhao et al.   Water

A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting

(2016) Mingfei Niu et al.   ATMOSPHERIC ENVIRONMENT

Mid- and long-term runoff predictions by an improved phase-space reconstruction model

(2016) Mei Hong et al.   ENVIRONMENTAL RESEARCH

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

(2016) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Probabilistic Prediction for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods

(2016) Y. R. Fan et al.   WATER RESOURCES MANAGEMENT

Wavelet-based time series bootstrap model for multidecadal streamflow simulation using climate indicators

(2016) Solomon Tassew Erkyihun et al.   WATER RESOURCES RESEARCH

Value of long-term streamflow forecasts to reservoir operations for water supply in snow-dominated river catchments

(2016) D. Anghileri et al.   WATER RESOURCES RESEARCH

Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression

(2015) Jianming Hu et al.   ENERGY

A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

(2015) Jianzhou Wang et al.   ENERGY

Deep learning

(2015) Yann LeCun et al.   NATURE

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

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

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Improved complete ensemble EMD: A suitable tool for biomedical signal processing

(2014) Marcelo A. Colominas et al.   Biomedical Signal Processing and Control

A Four-Stage Hybrid Model for Hydrological Time Series Forecasting

(2014) Chongli Di et al.   PLoS One

Empirical Wavelet Transform

(2013) Jerome Gilles   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Streamflow forecasting by SVM with quantum behaved particle swarm optimization

(2012) Sudheer Ch et al.   NEUROCOMPUTING

Robust extreme learning machine

(2012) Punyaphol Horata et al.   NEUROCOMPUTING

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

(2011) Enli Wang et al.   WATER RESOURCES RESEARCH

Probabilistic Estimation of Multivariate Streamflow Using Independent Component Analysis and Climate Information

(2009) Seth Westra et al.   JOURNAL OF HYDROMETEOROLOGY

Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques

(2009) C. L. Wu et al.   WATER RESOURCES RESEARCH

Evolving neural network using real coded genetic algorithm for daily rainfall–runoff forecasting

(2008) A. Sedki et al.   EXPERT SYSTEMS WITH APPLICATIONS