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Improving the Precision of Crude Oil Prices Using Hybrid Modeling Methods

delete2025-12-24
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PRE
AI
C
Chunyu Du
W
Wenbo Ma *
DOI：10.1016/j.compchemeng.2025.109541delete
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Abstract

Abstract

En 中文
• Developing a hybrid MEMD-BMO-IFTT model for accurate crude oil price forecasting • Extracting multi-scale features using Multivariate Empirical Mode Decomposition • Optimizing model parameters efficiently with the Barnacles Mating Optimizer • Capturing long-term temporal dependencies via Interpretable Feature Temporal Transformer • Demonstrating superior predictive accuracy, risk-adjusted performance, and generalization

Journal

C
Computers and Chemical Engineering
IF:
3.9
Papers:
8.1K
Citations:
1.7W

Organization

C
chengdu polytechnic
Scholars:
13
Papers: 8
Citations: 0
E
economics dongfang college
Scholars:
1
Papers: 1
Citations: 0
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