Data Pre-Analysis and Ensemble of Various Artificial Neural Networks for Monthly Streamflow Forecasting

Forward Prediction of Runoff Data in Data-Scarce Basins with an Improved Ensemble Empirical Mode Decomposition (EEMD) Model

(2018) Yinghao Yu et al.   Water

A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

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

Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine

(2017) Tian Peng et al.   ENERGY CONVERSION AND MANAGEMENT

An automatic tool for reconstructing monthly time-series of hydro-climatic variables at ungauged basins

(2017) D. Pumo et al.   ENVIRONMENTAL MODELLING & SOFTWARE

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

(2017) Xuehua Zhao et al.   Water

Comparative Analysis of ANN and SVM Models Combined with Wavelet Preprocess for Groundwater Depth Prediction

(2017) Ting Zhou et al.   Water

Streamflow Forecasting Using Empirical Wavelet Transform and Artificial Neural Networks

(2017) Tian Peng et al.   Water

Streamflow estimation by support vector machine coupled with different methods of time series decomposition in the upper reaches of Yangtze River, China

(2016) Shuang Zhu et al.   Environmental Earth Sciences

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

(2016) Mei Hong et al.   ENVIRONMENTAL RESEARCH

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

(2016) Yun Bai et al.   JOURNAL OF HYDROLOGY

Monthly Rainfall Forecasting Using EEMD-SVR Based on Phase-Space Reconstruction

(2016) Qi Ouyang et al.   WATER RESOURCES MANAGEMENT

Generation of Natural Runoff Monthly Series at Ungauged Sites Using a Regional Regressive Model

(2016) Dario Pumo et al.   Water

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

Ensemble of various neural networks for prediction of heating energy consumption

(2015) Radiša Ž. Jovanović et al.   ENERGY AND BUILDINGS

Monthly and seasonal drought forecasting using statistical neural networks

(2015) Seyed Mohammad Hosseini-Moghari et al.   Environmental Earth Sciences

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

The SESAMO early warning system for rainfall-triggered landslides

(2015) D. Pumo et al.   JOURNAL OF HYDROINFORMATICS

Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

(2015) Youngmin Seo et al.   JOURNAL OF HYDROLOGY

Ensemble methods for wind and solar power forecasting—A state-of-the-art review

(2015) Ye Ren et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control

(2014) Fi-John Chang et al.   JOURNAL OF HYDROLOGY

Empirical Wavelet Transform

(2013) Jerome Gilles   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Determination of Input for Artificial Neural Networks for Flood Forecasting Using the Copula Entropy Method

(2013) Lu Chen et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Characterizing cross-scale chaotic behaviors of the runoff time series in an inland river of Central Asia

(2013) Zengyun Hu et al.   QUATERNARY INTERNATIONAL

Copula entropy coupled with artificial neural network for rainfall–runoff simulation

(2013) Lu Chen et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Monthly streamflow forecasting based on improved support vector machine model

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

Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques

(2010) C.L. Wu et al.   JOURNAL OF HYDROLOGY

Data-driven modelling: some past experiences and new approaches

(2007) Dimitri P. Solomatine et al.   JOURNAL OF HYDROINFORMATICS