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A semi-heterogeneous approach to combining crude oil price forecasts · Study

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ArticleA semi-heterogeneous approach to combining crude oil price forecasts

Jue Wang2018

Article2018

A semi-heterogeneous approach to combining crude oil price forecasts

Jue Wang · Xiang Li · Tao Hong · Shouyang Wang

71 citations·0/0 files stored·Information Sciences

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Forecasting Techniques and Applications Stock Market Forecasting Methods Energy Load and Power Forecasting

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References

2004Combination forecasts of output growth in a seven‐country data set 2001Principles of forecasting : a handbook for researchers and practitioners 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm 2002Principles of Forecasting. A Handbook for Researchers and Practitioners 2007A new approach for crude oil price analysis based on Empirical Mode Decomposition 2010Oil and the macroeconomy: using wavelets to analyze old issues 2011Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling 2006A New Method for Crude Oil Price Forecasting Based on Support Vector Machines

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2020Support Vector Machine Algorithms: An Application to Ship Price Forecasting 2021Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model 2022Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets 2022Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors 2019

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Year2018

Typearticle

Published2018-06-06

VenueInformation Sciences

ISSN-L0020-0255

Languageen

Citations71

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.ins.2018.05.026

openalex_workW2806380219

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CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms

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