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A bi-level ensemble learning approach to complex time series forecasting : taking exchange rates as an example
Hao, Jun; Feng, Qian Qian; Li, Jianping; Sun, Xiaolei - In: Journal of forecasting 42 (2023) 6, pp. 1385-1406
Persistent link: https://www.econbiz.de/10014338903
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A novel mode-characteristic-based decomposition ensemble model for nuclear energy consumption forecasting
Tang, Ling; Wang, Shuai; He, Kaijian; Wang, Shouyang - In: Intelligent knowledge management in operations research, (pp. 111-132). 2015
Persistent link: https://www.econbiz.de/10011489110
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Ensemble forecasting for complex time series using sparse representation and neural networks
Yu, Lean; Zhao, Yang; Tang, Ling - In: Journal of forecasting 36 (2017) 2, pp. 122-138
Persistent link: https://www.econbiz.de/10011729109
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A novel cryptocurrency price trend forecasting model based on LightGBM
Sun, Xiaolei; Liu, Mingxi; Sima, Zeqian - In: Finance research letters 32 (2020), pp. 1-6
Persistent link: https://www.econbiz.de/10012430686
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Predicting natural gas futures' volatility using climate risks
Guo, Kun; Liu, Fengqi; Sun, Xiaolei; Zhang, Dayong; Ji, … - In: Finance research letters 55 (2023) 1, pp. 1-8
Persistent link: https://www.econbiz.de/10014473296
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A deep learning ensemble approach for crude oil price forecasting
Zhao, Yang; Li, Jianping; Yu, Lean - In: Energy economics 66 (2017), pp. 9-16
Persistent link: https://www.econbiz.de/10011896417
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A novel text-based framework for forecasting agricultural futures using massive online news headlines
Li, Jianping; Li, Guowen; Liu, Mingxi; Zhu, Xiaoqian; … - In: International journal of forecasting 38 (2022) 1, pp. 35-50
Persistent link: https://www.econbiz.de/10013347409