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Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks

Citations

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  1. Wu, Han & Du, Pei, 2024. "Dual-stream transformer-attention fusion network for short-term carbon price prediction," Energy, Elsevier, vol. 311(C).
  2. Peng-Cheng Zhang & Jie Cheng, 2024. "The price behavior characteristics of China and Europe carbon emission trading market based on the perspective of time scaling and expected returns," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-22, February.
  3. Zhang, Yingnan & Wu, Guanqi & Zhang, Bin, 2025. "Costs and CO2 emissions of technological transformation in China's power industry: The impact of market regulation and assistive technologies," Structural Change and Economic Dynamics, Elsevier, vol. 73(C), pages 211-222.
  4. Zhang, Mingyue & Han, Yang & Wang, Chaoyang & Yang, Ping & Wang, Congling & Zalhaf, Amr S., 2024. "Ultra-short-term photovoltaic power prediction based on similar day clustering and temporal convolutional network with bidirectional long short-term memory model: A case study using DKASC data," Applied Energy, Elsevier, vol. 375(C).
  5. Han, Te & Gu, Xiaoyang & Li, Dan & Chen, Kaiyuan & Cong, Rong-Gang & Zhao, Lu-Tao & Wei, Yi-Ming, 2025. "Causal neural network for carbon prices probabilistic forecasting," Applied Energy, Elsevier, vol. 397(C).
  6. Jiaqing Chen & Dongpeng Peng & Zhiwei Liu & Lingzhi Wu & Ming Jiang, 2024. "A Sustainable Model for Forecasting Carbon Emission Trading Prices," Sustainability, MDPI, vol. 16(19), pages 1-16, September.
  7. Zhu, Pengfei & Lu, Tuantuan & Shang, Yue & Zhang, Zerong & Wei, Yu, 2023. "Can China's national carbon trading market hedge the risks of light and medium crude oil? A comparative analysis with the European carbon market," Finance Research Letters, Elsevier, vol. 58(PA).
  8. Ji, Mingyang & Du, Juntao & Du, Pei & Niu, Tong & Wang, Jianzhou, 2025. "A novel probabilistic carbon price prediction model: Integrating the transformer framework with mixed-frequency modeling at different quartiles," Applied Energy, Elsevier, vol. 391(C).
  9. Tian, Zhirui & Sun, Wenpu & Wu, Chenye, 2025. "MLP-Carbon: A new paradigm integrating multi-frequency and multi-scale techniques for accurate carbon price forecasting," Applied Energy, Elsevier, vol. 383(C).
  10. Wang, Jujie & Xu, Shulian & Shu, Shuqin, 2024. "An optimal weight heterogeneous integrated carbon price prediction model based on temporal information extraction and specific comprehensive feature selection," Energy, Elsevier, vol. 312(C).
  11. Cao, Jin-Hui & Xie, Chi & Zhou, Yang & Wang, Gang-Jin & Zhu, You, 2025. "Forecasting carbon price: A novel multi-factor spatial-temporal GNN framework integrating Graph WaveNet and self-attention mechanism," Energy Economics, Elsevier, vol. 144(C).
  12. Huang, Wenyang & Zhao, Jianyu & Wang, Xiaokang, 2024. "Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price," Energy Economics, Elsevier, vol. 132(C).
  13. Yin, Linfei & Wang, Nannan & Li, Jishen, 2025. "Electricity terminal multi-label recognition with a “one-versus-all” rejection recognition algorithm based on adaptive distillation increment learning and attention MobileNetV2 network for non-invasiv," Applied Energy, Elsevier, vol. 382(C).
  14. Yang, Dongchuan & Li, Mingzhu & Guo, Ju-e & Du, Pei, 2024. "An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting," Applied Energy, Elsevier, vol. 375(C).
  15. Gou, Liangjie & Yang, Zhaozhong & Min, Chao & Yi, Duo & Li, Xiaogang & Kong, Bing, 2024. "A novel domain adaptation method with physical constraints for shale gas production forecasting," Applied Energy, Elsevier, vol. 371(C).
  16. Werner Kristjanpoller & Kevin Michell & Cristian Llanos & Marcel C. Minutolo, 2025. "Incorporating causal notions to forecasting time series: a case study," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-22, December.
  17. Albani, V.V.L. & Marcavillaca, R.T. & Moreira, P.S.E. & Avila, S.L. & Geremia, M. & Piovezan, R.P.B. & Sica, E.T. & Santos, E., 2025. "Short-term forecasting of forward prices in the Brazilian electricity market with a hybrid stochastic-neural network model," Energy Economics, Elsevier, vol. 148(C).
  18. Bai, Yun & Deng, Shuyun & Pu, Ziqiang & Li, Chuan, 2024. "Carbon price forecasting using leaky integrator echo state networks with the framework of decomposition-reconstruction-integration," Energy, Elsevier, vol. 305(C).
  19. Tian, Zhirui & Liu, Weican & Zhang, Jiahao & Sun, Wenpu & Wu, Chenye, 2025. "EDformer family: End-to-end multi-task load forecasting frameworks for day-ahead economic dispatch," Applied Energy, Elsevier, vol. 383(C).
  20. Zhang, Xin & Wang, Jujie & He, Xuecheng, 2025. "An optimal multi-scale ensemble transformer for carbon emission allowance price prediction based on time series patching and two-stage stabilization," Energy, Elsevier, vol. 328(C).
  21. Wang, Ning & Guo, Ziyu & Shang, Dawei & Li, Keyuyang, 2024. "Carbon trading price forecasting in digitalization social change era using an explainable machine learning approach: The case of China as emerging country evidence," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  22. Yuan, Renteng & Abdel-Aty, Mohamed & Gu, Xin & Zheng, Ou & Xiang, Qiaojun, 2023. "A unified modeling framework for lane change intention recognition and vehicle status prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
  23. Liu, Shuihan & Xie, Gang & Wang, Zhengzhong & Wang, Shouyang, 2024. "A secondary decomposition-ensemble framework for interval carbon price forecasting," Applied Energy, Elsevier, vol. 359(C).
  24. Xu, Yifan & Che, Jinxing & Xia, Wenxin & Hu, Kun & Jiang, Weirui, 2024. "A novel paradigm: Addressing real-time decomposition challenges in carbon price prediction," Applied Energy, Elsevier, vol. 364(C).
  25. Beibei Hu & Yunhe Cheng, 2023. "Prediction of Regional Carbon Price in China Based on Secondary Decomposition and Nonlinear Error Correction," Energies, MDPI, vol. 16(11), pages 1-22, May.
  26. Zeyu Zhang & Xiaoqian Liu & Xiling Zhang & Zhishan Yang & Jian Yao, 2024. "Carbon Price Forecasting Using Optimized Sliding Window Empirical Wavelet Transform and Gated Recurrent Unit Network to Mitigate Data Leakage," Energies, MDPI, vol. 17(17), pages 1-22, August.
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