Application of a hybrid model based on the Prophet model, ICEEMDAN and multi-model optimization error correction in metal price prediction
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DOI: 10.1016/j.resourpol.2022.102969
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- Yun Zhou & Xuxu Zhu, 2025. "Forecasting USD/RMB exchange rate using the ICEEMDAN‐CNN‐LSTM model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(1), pages 200-215, January.
- He, Zhichao & Huang, Jianhua, 2023. "A novel non-ferrous metal price hybrid forecasting model based on data preprocessing and error correction," Resources Policy, Elsevier, vol. 86(PB).
- Li, Xiaobin & Sengupta, Tuhin & Si Mohammed, Kamel & Jamaani, Fouad, 2023. "Forecasting the lithium mineral resources prices in China: Evidence with Facebook Prophet (Fb-P) and Artificial Neural Networks (ANN) methods," Resources Policy, Elsevier, vol. 82(C).
- Di Zhang & Xinyuan Li & Chengpeng Wan & Jie Man, 2024. "A novel hybrid deep-learning framework for medium-term container throughput forecasting: an application to China’s Guangzhou, Qingdao and Shanghai hub ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(1), pages 44-73, March.
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Keywords
Prophet model; ICEEMDAN; Multi-model optimization error correction; DM test; Model confidence set trimming;All these keywords.
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