Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets
作者：
Highlights：
• An innovative learning framework for predicting crude oil prices is proposed.
• Sustainable management in oil markets is surveyed.
• Intensive verifications with other challenging approaches are implemented.
• The superior performance of the proposed approach is verified in the experiments.
• A case study is proposed to illustrate the rationality of the proposed approach.
摘要
•An innovative learning framework for predicting crude oil prices is proposed.•Sustainable management in oil markets is surveyed.•Intensive verifications with other challenging approaches are implemented.•The superior performance of the proposed approach is verified in the experiments.•A case study is proposed to illustrate the rationality of the proposed approach.
论文关键词：Deep learning,Predictive modeling,Long short-term memory,Crude oil price,Price management,Sustainability
论文评审过程：Received 18 March 2022, Revised 18 August 2022, Accepted 20 August 2022, Available online 28 August 2022, Version of Record 2 September 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118658
