A new hybrid approach: K-means + KPCA + KELM is proposed to forecast crude oil price. Empirical results verify that our new proposed approach and dataset ...
Some researchers proposes a hybrid approach for crude oil price forecasting by integrating multiple data sources, including economic indicators, news articles, ...
Mar 9, 2021 · Data for: Forecasting crude oil price with a new hybrid approach and multi-source data. Published: 9 March 2021| Version 1 | DOI: ...
In this paper, we apply multi-scale data that including both GSVI data and traditional economic data related to crude oil price as independent variables and ...
Forecasting crude oil price with a new hybrid approach and multi-source data ... Multi-perspective crude oil price forecasting with a new decomposition ...
In this paper, we apply multi-scale data that including both GSVI data and traditional economic data related to crude oil price as independent variables and ...
This paper applies multi-scale data that including both GSVI data and traditional economic data related to crude oil price as independent variables and ...
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Jan 14, 2024 · Caption: This research develops a hybrid crude oil price forecasting framework that incorporates the principle of decomposition–integration.
In this paper, we propose a deep learning model for forecasting the crude oil price of one-step and multi-step ahead.
Most of the existing models for oil price forecasting only use the data in the forecasted time series. This study pro- poses a hybrid transfer learning ...