An enhanced monthly runoff forecasting using least squares support vector machine based on Harris hawks optimization and secondary decomposition

Landslide Displacement Prediction of Shuping Landslide Combining PSO and LSSVM Model

(2023) Wenjun Jia et al.   Water

Improving the precision of monthly runoff prediction using the combined non-stationary methods in an oasis irrigation area

(2023) Chaofei He et al.   AGRICULTURAL WATER MANAGEMENT

Numerical analysis and prediction of lateral-torsional buckling resistance of cellular steel beams using FEM and least square support vector machine optimized by metaheuristic algorithms

(2023) Mohamed El Amine Ben Seghier et al.   Alexandria Engineering Journal

Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia

(2023) Kassa Abera Tareke et al.   Heliyon

Seasonal peak load prediction of underground gas storage using a novel two-stage model combining improved complete ensemble empirical mode decomposition and long short-term memory with a sparrow search algorithm

(2023) Weibiao Qiao et al.   Energy

Short-term runoff prediction using deep learning multi-dimensional ensemble method

(2022) Guanjun Liu et al.   JOURNAL OF HYDROLOGY

Enhanced LSTM model for daily runoff prediction in the upper huai river basin, china

(2022) Yuanyuan Man et al.   Engineering

Multi-step prediction of photovoltaic power based on two-stage decomposition and BILSTM

(2022) Wenshuai Lin et al.   NEUROCOMPUTING

Monthly runoff prediction at Baitarani river basin by support vector machine based on Salp swarm algorithm

(2022) Sandeep Samantaray et al.   Ain Shams Engineering Journal

A CGRU multi-step wind speed forecasting model based on multi-label specific XGBoost feature selection and secondary decomposition

(2022) Zheyong Jiang et al.   RENEWABLE ENERGY

Assessing spatial connectivity effects on daily streamflow forecasting using Bayesian-based graph neural network

(2022) Guanjun Liu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

(2022) Zhanxing Xu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Rainfall-runoff modeling using LSTM-based multi-state-vector sequence-to-sequence model

(2021) Hanlin Yin et al.   JOURNAL OF HYDROLOGY

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

(2021) Shu Chen et al.   JOURNAL OF HYDROLOGY

Multi-step wind speed forecasting based on secondary decomposition algorithm and optimized back propagation neural network

(2021) Wei Sun et al.   APPLIED SOFT COMPUTING

Research and application of a hybrid model for mid-term power demand forecasting based on secondary decomposition and interval optimization

(2021) Dongxiao Niu et al.   ENERGY

A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting

(2021) Yinan Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data construction methodology for convolution neural network based daily runoff prediction and assessment of its applicability

(2021) Chul Min Song   JOURNAL OF HYDROLOGY

An Ensemble Hybrid Forecasting Model for Annual Runoff Based on Sample Entropy, Secondary Decomposition, and Long Short-Term Memory Neural Network

(2021) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT

A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting

(2020) Wenlong Fu et al.   ENERGY CONVERSION AND MANAGEMENT

Quantifying the Uncertainties in Data-Driven Models for Reservoir Inflow Prediction

(2020) Xiaoli Zhang et al.   WATER RESOURCES MANAGEMENT

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

Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization

(2020) Yazid Tikhamarine et al.   JOURNAL OF HYDROLOGY

Multi-step-ahead forecast of reservoir water availability with improved quantum-based GWO coupled with the AI-based LSSVM model

(2020) Yuxue Guo et al.   JOURNAL OF HYDROLOGY

Knock Detection based on the Optimized Variational Mode Decomposition

(2019) Bi Fengrong et al.   MEASUREMENT

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

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

Harris hawks optimization: Algorithm and applications

(2019) Ali Asghar Heidari et al.   Future Generation Computer Systems-The International Journal of eScience

Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam

(2019) Mohammad Rezaie-Balf et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Nonlinear response of runoff to atmospheric freezing level height variation based on hybrid prediction models

(2019) Yanhua Qin et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada

(2019) Rahim Barzegar et al.   JOURNAL OF HYDROLOGY

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

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

Simulating and Predicting of Hydrological Time Series Based on TensorFlow Deep Learning

(2018) Jinbo Qin et al.   POLISH JOURNAL OF ENVIRONMENTAL STUDIES

Stream Flow Forecasting of Poorly Gauged Mountainous Watershed by Least Square Support Vector Machine, Fuzzy Genetic Algorithm and M5 Model Tree Using Climatic Data from Nearby Station

(2018) Rana Muhammad Adnan et al.   WATER RESOURCES MANAGEMENT

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

(2017) Wenyu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Deep Convolutional Neural Network for Inverse Problems in Imaging

(2017) Kyong Hwan Jin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

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

(2017) Xuehua Zhao et al.   Water

Coupling SWAT and ANN models for enhanced daily streamflow prediction

(2016) Navideh Noori et al.   JOURNAL OF HYDROLOGY

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

Prediction and modelling of rainfall–runoff during typhoon events using a physically-based and artificial neural network hybrid model

(2015) Chih-Chieh Young et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Streamflow Forecasting and Estimation Using Least Square Support Vector Regression and Adaptive Neuro-Fuzzy Embedded Fuzzy c-means Clustering

(2015) Ozgur Kisi   WATER RESOURCES MANAGEMENT

Multi-step streamflow forecasting using data-driven non-linear methods in contrasting climate regimes

(2015) Daniel J. Karran et al.   JOURNAL OF HYDROINFORMATICS

Variational Mode Decomposition

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

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

(2014) Zhiyong Liu et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting using Gaussian Process Regression

(2014) Alexander Y. Sun et al.   JOURNAL OF HYDROLOGY

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

Prediction of daily crop reference evapotranspiration (ET0) values through a least-squares support vector machine model

(2011) Xianghong Guo et al.   HYDROLOGY RESEARCH

Impact of EMD decomposition and random initialisation of weights in ANN hindcasting of daily stream flow series: An empirical examination

(2011) Giulia Napolitano et al.   JOURNAL OF HYDROLOGY

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

(2011) Zhenhai Guo et al.   RENEWABLE ENERGY

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting

(2010) Mehdi Khashei et al.   APPLIED SOFT COMPUTING

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY