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Forecasting Crude Oil Prices: a Deep Learning based Model
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References

  • 2016Deep Learning for Finance: Deep Portfolios765 cited
  • 2015A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units289 cited
  • 2015Forecasting exchange rate using deep belief networks and conjugate gradient method234 cited
  • 2015Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction175 cited
  • 2016Forecasting energy market indices with recurrent neural networks: Case study of crude oil price fluctuations142 cited

Cited by

  • 2022Multi-Step Crude Oil Price Prediction Based on LSTM Approach Tuned by Salp Swarm Algorithm with Disputation Operator125 cited
  • 2020Financial time series forecasting with deep learning : A systematic literature review: 2005–2019112 cited
  • 2021A combined architecture of multivariate LSTM with Mahalanobis and Z-Score transformations for oil price forecasting102 cited
  • 2018Roll motion prediction using a hybrid deep learning and ARIMA model89 cited
  • 2020A multi-granularity heterogeneous combination approach to crude oil price forecasting80 cited
  • 2020Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM77 cited
  • 2019A Multi-recurrent Network for Crude Oil Price Prediction67 cited
  • 2022Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm57 cited

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  • 2019CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms54 cited
  • 2023A survey of deep learning applications in cryptocurrency53 cited
  • 2020Daily natural gas price forecasting by a weighted hybrid data-driven model53 cited
  • 2024A blending ensemble learning model for crude oil price forecasting48 cited
  • 2024A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting44 cited
  • 2020Forecasting Crude Oil Market Crashes Using Machine Learning Technologies43 cited
  • 2023Financial Volatility Modeling with the GARCH-MIDAS-LSTM Approach: The Effects of Economic Expectations, Geopolitical Risks and Industrial Production during COVID-1930 cited
  • 2020Refinements of Barndorff-Nielsen and Shephard Model: An Analysis of Crude Oil Price with Machine Learning26 cited