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

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

(2014) Ling Tang et al.   APPLIED ENERGY

A hybrid wavelet-ELM based short term price forecasting for electricity markets

(2013) Nitin Anand Shrivastava et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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 novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting

(2012) Ling Tang et al.   APPLIED ENERGY

Crude oil price analysis and forecasting using wavelet decomposed ensemble model

(2012) Kaijian He et al.   ENERGY

Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping

(2012) Xia Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A comparative analysis of support vector machines and extreme learning machines

(2012) Xueyi Liu et al.   NEURAL NETWORKS

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

Revisiting the Inflationary Effects of Oil Prices

(2011) Shiu-Sheng Chen   ENERGY JOURNAL

Analysis of real oil prices via trend-cycle decomposition

(2010) Levent Özbek et al.   ENERGY POLICY

A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm

(2010) W.K. Wong et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Performance enhancement of ensemble empirical mode decomposition

(2010) Jian Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

OP-ELM: Optimally Pruned Extreme Learning Machine

(2009) Yoan Miche et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Sales forecasting using extreme learning machine with applications in fashion retailing

(2008) Zhan-Li Sun et al.   DECISION SUPPORT SYSTEMS

BANDWIDTH EMPIRICAL MODE DECOMPOSITION AND ITS APPLICATION

(2008) QIWEI XIE et al.   International Journal of Wavelets Multiresolution and Information Processing

A fast pruned-extreme learning machine for classification problem

(2008) Hai-Jun Rong et al.   NEUROCOMPUTING