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Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach

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  1. Tian, Zhirui & Liu, Weican & Jiang, Wenqian & Wu, Chenye, 2024. "CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability," Energy, Elsevier, vol. 293(C).
  2. Canran Xiao & Yongmei Liu, 2025. "A Multifrequency Data Fusion Deep Learning Model for Carbon Price Prediction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 436-458, March.
  3. Zhao, Yang & Wang, Jianzhou & Wang, Shuai & Zheng, Jingwei & Lv, Mengzheng, 2025. "Using explainable deep learning to improve decision quality: Evidence from carbon trading market," Omega, Elsevier, vol. 133(C).
  4. Gao, Yang & Zhou, Yueyi & Zhao, Longfeng, 2024. "Quantile interdependence and network connectedness between China's green financial and energy markets," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1148-1177.
  5. Luo, Rui & Liu, Jinpei & Chen, Peipei & Luo, Jian, 2025. "Enhancing carbon price robust forecasting: A text-driven method utilizing weighted interval-joint quadratic support vector regression," Energy Economics, Elsevier, vol. 148(C).
  6. 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).
  7. Zhang, Huaquan & Yang, Fan & Chandio, Abbas Ali & Liu, Jing & Twumasi, Martinson Ankrah & Ozturk, Ilhan, 2023. "Assessing the effects of internet technology use on rural households' cooking energy consumption: Evidence from China," Energy, Elsevier, vol. 284(C).
  8. Zeng, Liling & Hu, Huanling & Song, Qingkui & Zhang, Boting & Lin, Ruibin & Zhang, Dabin, 2024. "A drift-aware dynamic ensemble model with two-stage member selection for carbon price forecasting," Energy, Elsevier, vol. 313(C).
  9. Wang, Zhengzhong & Wei, Yunjie & Wang, Shouyang, 2025. "Forecasting the carbon price of China's national carbon market: A novel dynamic interval-valued framework," Energy Economics, Elsevier, vol. 141(C).
  10. Zhuo, Xingxuan & Zhang, Fangyun & Long, Houyin & Lin, Feng, 2025. "Unveiling the drivers of high-frequency carbon price dynamics: A nonlinear fusion approach with irregular events and mixed-frequency data," Energy, Elsevier, vol. 335(C).
  11. Tan, Jinghua & Li, Zhixi & Zhang, Chuanhui & Shi, Long & Jiang, Yuansheng, 2024. "A multiscale time-series decomposition learning for crude oil price forecasting," Energy Economics, Elsevier, vol. 136(C).
  12. Piao Wang & Shahid Hussain Gurmani & Zhifu Tao & Jinpei Liu & Huayou Chen, 2024. "Interval time series forecasting: A systematic literature review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 249-285, March.
  13. Haoyu Chen & Qunli Wu & Chonghao Han, 2025. "Carbon Price Point and Interval-Valued Prediction Based on a Novel Hybrid Model," Energies, MDPI, vol. 18(5), pages 1-31, February.
  14. Tian, Yingjie & Wen, Haonan & Guo, Kun, 2025. "Machine learning applications in climate finance: An overview," Research in International Business and Finance, Elsevier, vol. 79(C).
  15. Wang, Yanyan & Chu, Fuling, 2025. "How does artificial intelligence impact household energy poverty? Empirical evidence from China," Energy, Elsevier, vol. 341(C).
  16. Dinggao Liu & Liuqing Wang & Shuo Lin & Zhenpeng Tang, 2025. "A Novel Multi-Task Learning Framework for Interval-Valued Carbon Price Forecasting Using Online News and Search Engine Data," Mathematics, MDPI, vol. 13(3), pages 1-23, January.
  17. Li, Bowen & Ampah, Jeffrey Dankwa & Li, Tiantian & Zhang, Xing & Liu, Haifeng & Feng, Hongqing & Yue, Zongyu & Hussain Ratlamwala, Tahir Abdul & Yao, Mingfa, 2025. "Enhancing renewable energy load forecasting through deep data analysis and feature extraction techniques," Energy, Elsevier, vol. 340(C).
  18. Zhu, Mengrui & Xu, Hua & Wang, Minggang & Tian, Lixin, 2024. "Carbon price interval prediction method based on probability density recurrence network and interval multi-layer perceptron," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
  19. Bangzhu Zhu & Chunzhuo Wan & Ping Wang & Julien Chevallier, 2025. "Interval Forecasting of Carbon Price With a Novel Hybrid Multiscale Decomposition and Bootstrap Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 376-390, March.
  20. Jiang, Weiyi & Wang, Jujie & Shu, Shuqin & He, Xuecheng, 2026. "An enhanced differential learning wind speed interval-value prediction system based on optimal collaborative interval decomposition and strategic model selection," Renewable Energy, Elsevier, vol. 256(PB).
  21. Wang, Xuerui & Wang, Lin & An, Wuyue, 2024. "Probability density prediction for carbon allowance prices based on TS2Vec and distribution Transformer," Energy Economics, Elsevier, vol. 140(C).
  22. Ma, Xiaochen & Pan, Yanchun & Zhang, Manzi & Ma, Jianhua & Yang, Wen, 2024. "Impact of carbon emission trading and renewable energy development policy on the sustainability of electricity market: A stackelberg game analysis," Energy Economics, Elsevier, vol. 129(C).
  23. Zhang, Sheng-Hao & Yang, Jun & Feng, Chao, 2023. "Can internet development alleviate energy poverty? Evidence from China," Energy Policy, Elsevier, vol. 173(C).
  24. Xu, Bin, 2023. "Exploring the sustainable growth pathway of wind power in China: Using the semiparametric regression model," Energy Policy, Elsevier, vol. 183(C).
  25. Yang, Kun & Sun, Yuying & Hong, Yongmiao & Wang, Shouyang, 2024. "Forecasting interval carbon price through a multi-scale interval-valued decomposition ensemble approach," Energy Economics, Elsevier, vol. 139(C).
  26. Liu, Jinpei & Wang, Jiaqi & Zhao, Xiaoman & Tao, Zhifu, 2025. "A multi-objective ensemble prediction model for interval-valued carbon price based on mixed-frequency data and sub-model selection," Energy, Elsevier, vol. 326(C).
  27. Fang, Guochang & Chen, Gang & Yang, Kun & Yin, Weijun & Tian, Lixin, 2023. "Can green tax policy promote China's energy transformation?— A nonlinear analysis from production and consumption perspectives," Energy, Elsevier, vol. 269(C).
  28. He Jiang & Sheng Pan & Yao Dong & Jianzhou Wang, 2024. "Probabilistic electricity price forecasting based on penalized temporal fusion transformer," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1465-1491, August.
  29. 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).
  30. Liu, Shuihan & Li, Mingchen & Yang, Kun & Wei, Yunjie & Wang, Shouyang, 2025. "From forecasting to trading: A multimodal-data-driven approach to reversing carbon market losses," Energy Economics, Elsevier, vol. 144(C).
  31. 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).
  32. Xie, Gang & Jiang, Fuxin & Zhang, Chengyuan, 2023. "A secondary decomposition-ensemble methodology for forecasting natural gas prices using multisource data," Resources Policy, Elsevier, vol. 85(PA).
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