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A Novel Hybrid AI System Framework for Crude Oil Price Forecasting
2 references·16 citing·38 second hop
A Novel Hybrid AI System Framework for Crude Oil Price Forecasting (2004)A Novel Hybrid AI System Framework for Cr…A semiparametric approach to short-term oil price forecasting (2001)A semiparametric approach to …Oil Price Forecasting in the 1980s: What Went Wrong?* (1994)Oil Price Forecasting in the …A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities (2021)A Review of the Applications …Modelling the iron ore price index: A new perspective from a hybrid data reconstructed EEMD-GORU model (2020)Modelling the iron ore price …Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market (2020)Daily Crude Oil Price Forecas…The economic and financial properties of crude oil: A review (2019)The economic and financial pr…Machine learning in energy economics and finance: A review (2019)Machine learning in energy ec…An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction (2019)An effective and robust decom…An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting (2019)An Adaptive Hybrid Learning P…Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time? (2016)Forecasting spot oil price in…Ensemble Forecasting for Complex Time Series Using Sparse Representation and Neural Networks (2016)Ensemble Forecasting for Comp…A Review on Artificial Intelligence Methodologies for the Forecasting of Crude Oil Price (2016)A Review on Artificial Intell…Forecasting Crude Oil Price Using Artificial Neural Networks: A Literature Survey (2015)Forecasting Crude Oil Price U…A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting (2015)A hybrid grid-GA-based LSSVR …Daily Crude Oil Price Forecasting Using Hybridizing Wavelet and Artificial Neural Network Model (2014)Daily Crude Oil Price Forecas…Crude Oil Price Forecasting Techniques: A Comprehensive Review of Literature (2013)Crude Oil Price Forecasting T…Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Forecasting crude oil price w…Oil Price Forecasting with an EMD-Based Multiscale Neural Network Learning Paradigm (2007)Oil Price Forecasting with an…Time Series Analysis Forecasting and Control. 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this work references cited by second hop

References

  • 2001A semiparametric approach to short-term oil price forecasting253 cited
  • 1994Oil Price Forecasting in the 1980s: What Went Wrong?*112 cited

Cited by

  • 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm706 cited
  • 2019Machine learning in energy economics and finance: A review463 cited
  • 2016Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?116 cited
  • 2013Crude Oil Price Forecasting Techniques: A Comprehensive Review of Literature66 cited
  • 2019The economic and financial properties of crude oil: A review65 cited
  • 2016Ensemble Forecasting for Complex Time Series Using Sparse Representation and Neural Networks60 cited
  • 2015A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting56 cited
  • 2021A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities55 cited
  • 2007Oil Price Forecasting with an EMD-Based Multiscale Neural Network Learning Paradigm53 cited
  • 2014Daily Crude Oil Price Forecasting Using Hybridizing Wavelet and Artificial Neural Network Model53 cited
  • 2019An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting53 cited
  • 2020Modelling the iron ore price index: A new perspective from a hybrid data reconstructed EEMD-GORU model

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46 cited
  • 2016A Review on Artificial Intelligence Methodologies for the Forecasting of Crude Oil Price39 cited
  • 2019An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction35 cited
  • 2020Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market35 cited
  • 2015Forecasting Crude Oil Price Using Artificial Neural Networks: A Literature Survey29 cited