Research on Crude Oil Price Forecasting Based on MLR-SVR Decomposition Integrated Model
Author:
Affiliation:
1. Wuhan University of Technology, School of Economics,Wuhan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10085983/10086412/10086436.pdf?arnumber=10086436
Reference10 articles.
1. A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms
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3. Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia – ScienceDirect;a;Advanced Engineering Informatics,2018
4. Forecasting Crude Oil Prices: a Deep Learning based Model
5. Fractionally integrated ARMA for crude palm oil prices prediction: case of potentially overdifference
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Novel Approach for Reconstruction of IMFs of Decomposition and Ensemble Model for Forecasting of Crude Oil Prices;IEEE Access;2024
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