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A Hybrid CEEMDAN-HOA-Transformer-GRU Model for Crude Oil Futures Price Forecasting

Year: 2025

Type: article

Abstract: Accurate forecasting of crude oil futures prices is crucial for understanding global energy market dynamics and formulating effective macroeconomic and energy strategies. However, the strong nonlinearity and multi-scale tempo... | Find, read and cite all the research you need on Tech Science Press

Source: Energy Engineering

DOI: 10.32604/ee.2025.072163

Authors: Yibin Guo, Lingxiao Ye, Xiang Wang, Di Wu, Zirong Wang, Hao Wang

Institution: Zhengzhou University of Aeronautics

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4415907321

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