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An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction
Wenjie Xu, Jujie Wang, Yue Zhang, Jianping Li, Lu Wei
Nanjing University of Information Science and Technology University of Chinese Academy of Sciences Central University of Finance and Economics
来源Annals of Operations Research
年份2022
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计算机 / AIStock Market Forecasting Methods
Forecasting Techniques and Applications · Energy Load and Power Forecasting
参考文献 64
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被引 1,079Xin‐She Yang, Suash Deb · Neural Computing and Applications · 2013
Reinforced recurrent neural networks for multi-step-ahead flood forecasts
被引 129Pin-An Chen, Li‐Chiu Chang, Fi‐John Chang · Journal of Hydrology · 2013
Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
被引 705Lean Yu, Shouyang Wang, Kin Keung Lai · Energy Economics · 2008
此处列出前 3 条
引用本文 50
Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks
被引 108Dan Li, Yijun Li, Chaoqun Wang · Applied Energy · 2022
Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization
被引 92Shangkun Deng, Jiankang Su, Yingke Zhu · Expert Systems with Applications · 2023
Forecasting carbon price in China using a novel hybrid model based on secondary decomposition, multi-complexity and error correction
被引 74Hong Yang, Xiaodie Yang, Guohui Li · Journal of Cleaner Production · 2023
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