A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting

A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting

(2016) Lean Yu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting

(2015) Ling Tang et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

A novel mode-characteristic-based decomposition ensemble model for nuclear energy consumption forecasting

(2014) Ling Tang et al.   ANNALS OF OPERATIONS RESEARCH

A novel data-characteristic-driven modeling methodology for nuclear energy consumption forecasting

(2014) Ling Tang et al.   APPLIED ENERGY

Forecasting Crude Oil Price with Multiscale Denoising Ensemble Model

(2014) Xia Li et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Crude Oil Price Prediction Based on a Dynamic Correcting Support Vector Regression Machine

(2013) Li Shu-rong et al.   Abstract and Applied Analysis

Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks

(2013) Hui Liu et al.   APPLIED ENERGY

Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study

(2013) Gang Xie et al.   APPLIED SOFT COMPUTING

How crude oil consumption impacts on economic growth of Sub-Saharan Africa?

(2013) Niaz Bashiri Behmiri et al.   ENERGY

The impact of peak oil on tourism in Spain: An input–output analysis of price, demand and economy-wide effects

(2013) Ivana Logar et al.   ENERGY

AN INTEGRATED DATA CHARACTERISTIC TESTING SCHEME FOR COMPLEX TIME SERIES DATA EXPLORATION

(2013) LING TANG et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

A hybrid SVM-PSO model for forecasting monthly streamflow

(2013) Ch. Sudheer et al.   NEURAL COMPUTING & APPLICATIONS

Flood flow forecasting using ANN, ANFIS and regression models

(2013) M. Rezaeianzadeh et al.   NEURAL COMPUTING & APPLICATIONS

Multi-step-ahead time series prediction using multiple-output support vector regression

(2013) Yukun Bao et al.   NEUROCOMPUTING

Short, medium and long term forecasting of time series using the L-Co-R algorithm

(2013) E. Parras-Gutierrez et al.   NEUROCOMPUTING

A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting

(2012) Ling Tang et al.   APPLIED ENERGY

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

(2012) Hui Liu et al.   APPLIED ENERGY

Macroeconomic effects of oil price shocks in Brazil and in the United States

(2012) Tiago Cavalcanti et al.   APPLIED ENERGY

Analysis about the seasonality of China's crude oil import based on X-12-ARIMA

(2012) Zhong-bing Zhou et al.   ENERGY

Crude oil price analysis and forecasting using wavelet decomposed ensemble model

(2012) Kaijian He et al.   ENERGY

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

(2012) Souhaib Ben Taieb et al.   EXPERT SYSTEMS WITH APPLICATIONS

Least squares support vector machine for short-term prediction of meteorological time series

(2012) A. Mellit et al.   THEORETICAL AND APPLIED CLIMATOLOGY

How does oil price volatility affect non-energy commodity markets?

(2011) Qiang Ji et al.   APPLIED ENERGY

Country risk forecasting for major oil exporting countries: A decomposition hybrid approach

(2011) Jian Ping Li et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Particle swarm optimization-least squares support vector regression based forecasting model on dissolved gases in oil-filled power transformers

(2011) Ruijin Liao et al.   ELECTRIC POWER SYSTEMS RESEARCH

Forecasting the differences between various commercial oil prices in the Persian Gulf region by neural network

(2011) Kamyar Movagharnejad et al.   ENERGY

A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China

(2011) Shuai Wang et al.   ENERGY

A novel force field parameter optimization method based on LSSVR for ECEPP

(2011) Yunling Liu et al.   FEBS LETTERS

Parameter selection of support vector machines and genetic algorithm based on change area search

(2011) Mingyuan Zhao et al.   NEURAL COMPUTING & APPLICATIONS

Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm

(2011) E. Parras-Gutierrez et al.   SOFT COMPUTING

Gold and oil futures markets: Are markets efficient?

(2010) Paresh Kumar Narayan et al.   APPLIED ENERGY

GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation

(2010) Adriano L.I. Oliveira et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing

(2009) Orhan Ekren et al.   APPLIED ENERGY

Reinterpreting No Free Lunch

(2009) Jon E. Rowe et al.   EVOLUTIONARY COMPUTATION

Ant colony and particle swarm optimization for financial classification problems

(2009) Yannis Marinakis et al.   EXPERT SYSTEMS WITH APPLICATIONS

Parameter optimisation using genetic algorithm for support vector machine-based price-forecasting model in National electricity market

(2009) L.M. Saini et al.   IET Generation Transmission & Distribution

Genetic algorithm-least squares support vector regression based predicting and optimizing model on carbon fiber composite integrated conductivity

(2009) Z. Yang et al.   MATERIALS & DESIGN

A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression

(2008) Chih-Hung Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

A genetic algorithm-based artificial neural network model for the optimization of machining processes

(2008) D. Venkatesan et al.   NEURAL COMPUTING & APPLICATIONS