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A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting
10 references·14 citing·47 second hop
A flexible neural network-fuzzy mathematical programming algorithm for improvement of oil price estimation and forecasting (2011)A flexible neural network-fuzzy mathemati…Relationships between oil price shocks and stock market: An empirical analysis from China (2008)Relationships between oil pri…Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Forecasting crude oil price w…Oil prices and real exchange rates (2006)Oil prices and real exchange …Forecasting Nonlinear Crude Oil Futures Prices (2006)Forecasting Nonlinear Crude O…A monthly crude oil spot price forecasting model using relative inventories (2005)A monthly crude oil spot pric…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…Forecasting: Methods and Applications (1999)Forecasting: Methods and Appl…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Forecasting: Methods and Applications, 3rd Ed (1997)Forecasting: Methods and Appl…Forecasting methods and applications (1993)Forecasting methods and appli…Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization algorithm (2021)Multi-step-ahead crude oil pr…Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price (2020)Ensemble probabilistic predic…Energy price prediction using data-driven models: A decade review (2020)Energy price prediction using…Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation (2020)Energy futures and spots pric…Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting (2019)Modes decomposition method in…Energy futures prices forecasting by novel DPFWR neural network and DS-CID evaluation (2019)Energy futures prices forecas…Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network (2018)Global crude oil price predic…Forecasting the WTI crude oil price by a hybrid-refined method (2018)Forecasting the WTI crude oil…Forecasting energy fluctuation model by wavelet decomposition and stochastic recurrent wavelet neural network (2018)Forecasting energy fluctuatio…Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning (2018)Forecasting Crude Oil Prices …Forecasting Crude Oil Price Using EEMD and RVM with Adaptive PSO-Based Kernels (2016)Forecasting Crude Oil Price U…An ICA-based support vector regression scheme for forecasting crude oil prices (2016)An ICA-based support vector r…Artificial intelligence methods for oil price forecasting: a review and evaluation (2015)Artificial intelligence metho…Integration of fuzzy neural network and artificial immune system-based back-propagation neural network for sales forecasting using qualitative and quantitative data (2014)Integration of fuzzy neural n…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Testing for a Unit Root in Time Series Regression (1988)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis (2011)The role of renewable energy consumption in economic growth: Evidence from asymmetric causality (2016)From nonrenewable to renewable energy and its impact on economic growth: The role of research & development expenditures in Asia-Pacific Economic Cooperation countries (2018)Time Series Analysis Forecasting and Control. 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this work references cited by second hop

References

  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1993Forecasting methods and applications2,393 cited
  • 2003Neural network forecasting for seasonal and trend time series987 cited
  • 2008Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm705 cited
  • 2008Relationships between oil price shocks and stock market: An empirical analysis from China665 cited
  • 1999Forecasting: Methods and Applications626 cited
  • 2006Oil prices and real exchange rates584 cited
  • 1997Forecasting: Methods and Applications, 3rd Ed245 cited
  • 2006Forecasting Nonlinear Crude Oil Futures Prices176 cited
  • 2005A monthly crude oil spot price forecasting model using relative inventories150 cited

Cited by

  • 2021Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization algorithm101 cited
  • 2018Forecasting the WTI crude oil price by a hybrid-refined method97 cited
  • 2019Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting94 cited
  • 2018Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network92 cited

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  • 2020Energy price prediction using data-driven models: A decade review91 cited
  • 2016An ICA-based support vector regression scheme for forecasting crude oil prices86 cited
  • 2018Forecasting energy fluctuation model by wavelet decomposition and stochastic recurrent wavelet neural network78 cited
  • 2020Energy futures and spots prices forecasting by hybrid SW-GRU with EMD and error evaluation77 cited
  • 2016Forecasting Crude Oil Price Using EEMD and RVM with Adaptive PSO-Based Kernels52 cited
  • 2018Forecasting Crude Oil Prices Using Ensemble Empirical Mode Decomposition and Sparse Bayesian Learning50 cited
  • 2020Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price50 cited
  • 2019Energy futures prices forecasting by novel DPFWR neural network and DS-CID evaluation45 cited
  • 2015Artificial intelligence methods for oil price forecasting: a review and evaluation45 cited
  • 2014Integration of fuzzy neural network and artificial immune system-based back-propagation neural network for sales forecasting using qualitative and quantitative data43 cited