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

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

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

Assessment of extreme precipitation events and their teleconnections to El Niño Southern Oscillation, a case study in the Wei River Basin of China

(2018) Rengui Jiang et al.   ATMOSPHERIC RESEARCH

Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices

(2017) Salim Lahmiri   IEEE Systems Journal

Multi-site solar power forecasting using gradient boosted regression trees

(2017) Caroline Persson et al.   SOLAR ENERGY

Analysis of Impacts of Climate Change and Human Activities on Hydrological Drought: a Case Study in the Wei River Basin, China

(2017) Lei Zou et al.   WATER RESOURCES MANAGEMENT

Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

(2017) Tiantian Yang et al.   WATER RESOURCES RESEARCH

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

(2017) Jyotirmayee Naik et al.   APPLIED SOFT COMPUTING

Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models

(2016) Yun Bai et al.   JOURNAL OF HYDROLOGY

A new intelligent method based on combination of VMD and ELM for short term wind power forecasting

(2016) Ali Akbar Abdoos   NEUROCOMPUTING

Utilizing RBF-NN and ANFIS Methods for Multi-Lead ahead Prediction Model of Evaporation from Reservoir

(2016) Mohammed Falah Allawi et al.   WATER RESOURCES MANAGEMENT

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

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

An Ensemble Empirical Mode Decomposition, Self-Organizing Map, and Linear Genetic Programming Approach for Forecasting River Streamflow

(2016) Jonathan Barge et al.   Water

Urban Link Travel Time Prediction Based on a Gradient Boosting Method Considering Spatiotemporal Correlations

(2016) Faming Zhang et al.   ISPRS International Journal of Geo-Information

Additive Model for Monthly Reservoir Inflow Forecast

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

Modeling of groundwater level fluctuations using dendrochronology in alluvial aquifers

(2015) V. Gholami et al.   JOURNAL OF HYDROLOGY

Impact of climate change and human activities on runoff in the Weihe River Basin, China

(2015) Jianxia Chang et al.   QUATERNARY INTERNATIONAL

A gradient boosting method to improve travel time prediction

(2015) Yanru Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Heuristic Methods for Reservoir Monthly Inflow Forecasting: A Case Study of Xinfengjiang Reservoir in Pearl River, China

(2015) Chun-Tian Cheng et al.   Water

Variational Mode Decomposition

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

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

An integrated wavelet-support vector machine for groundwater level prediction in Visakhapatnam, India

(2014) Ch. Suryanarayana et al.   NEUROCOMPUTING

A Four-Stage Hybrid Model for Hydrological Time Series Forecasting

(2014) Chongli Di et al.   PLoS One

Wavelet Analysis-Support Vector Machine Coupled Models for Monthly Rainfall Forecasting in Arid Regions

(2014) Qi Feng et al.   WATER RESOURCES MANAGEMENT

GA-Based Support Vector Machine Model for the Prediction of Monthly Reservoir Storage

(2013) Jieqiong Su et al.   JOURNAL OF HYDROLOGIC ENGINEERING

A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region

(2013) Zhibin He et al.   JOURNAL OF HYDROLOGY

Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines

(2013) Xiaoyuan Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gradient boosting machines, a tutorial

(2013) Alexey Natekin et al.   Frontiers in Neurorobotics

Application of artificial neural networks to rainfall forecasting in Queensland, Australia

(2012) John Abbot et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Applying fuzzy grey modification model on inflow forecasting

(2012) Yong-Huang Lin et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Rainfall-runoff modeling using least squares support vector machines

(2012) Umut Okkan et al.   ENVIRONMETRICS

Monthly streamflow forecasting based on improved support vector machine model

(2011) Jun Guo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluation of rainfall and discharge inputs used by Adaptive Network-based Fuzzy Inference Systems (ANFIS) in rainfall–runoff modeling

(2010) Amin Talei et al.   JOURNAL OF HYDROLOGY

Development and testing of a physically based, three-dimensional model of surface and subsurface hydrology

(2009) Marco Bittelli et al.   ADVANCES IN WATER RESOURCES

Potential of support vector regression for prediction of monthly streamflow using endogenous property

(2009) Rajib Maity et al.   HYDROLOGICAL PROCESSES

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

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

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY