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A multiscale and multivariable differentiated learning for carbon price forecasting. (2024). Zhao, Xuefeng ; Chen, Linfei.
In: Energy Economics.
RePEc:eee:eneeco:v:131:y:2024:i:c:s0140988324000616.

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  1. Natural Gas Futures Price Prediction Based on Variational Mode Decomposition–Gated Recurrent Unit/Autoencoder/Multilayer Perceptron–Random Forest Hybrid Model. (2025). Yu, Haisheng ; Song, Shenhui.
    In: Sustainability.
    RePEc:gam:jsusta:v:17:y:2025:i:6:p:2492-:d:1610559.

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  2. From forecasting to trading: A multimodal-data-driven approach to reversing carbon market losses. (2025). Liu, Shuihan ; Yang, Kun ; Wei, Yunjie ; Wang, Shouyang.
    In: Energy Economics.
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  3. Forecasting carbon price: A novel multi-factor spatial-temporal GNN framework integrating Graph WaveNet and self-attention mechanism. (2025). Cao, Jin-Hui ; Xie, Chi ; Zhou, Yang ; Wang, Gang-Jin ; Zhu, You.
    In: Energy Economics.
    RePEc:eee:eneeco:v:144:y:2025:i:c:s0140988325001410.

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  4. An optimal weight heterogeneous integrated carbon price prediction model based on temporal information extraction and specific comprehensive feature selection. (2024). Shu, Shuqin ; Xu, Shulian ; Wang, Jujie.
    In: Energy.
    RePEc:eee:energy:v:312:y:2024:i:c:s0360544224034327.

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  5. A multiscale time-series decomposition learning for crude oil price forecasting. (2024). Li, Zhixi ; Jiang, Yuansheng ; Shi, Long ; Tan, Jinghua ; Zhang, Chuanhui.
    In: Energy Economics.
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  6. Forecasting of coal and electricity prices in China: Evidence from the quantum bee colony-support vector regression neural network. (2024). Guo, Zhichen ; Pan, Wenchao ; Luo, Lingle ; Yaxuan, Jiayan Shi.
    In: Energy Economics.
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References

References cited by this document

  1. Aboy, M. ; Hornero, R. ; Abásolo, D. ; Álvarez, D. Interpretation of the Lempel-Ziv complexity measure in the context of biomedical signal analysis. 2006 IEEE Trans. Biomed. Eng.. 53 2282-2288
    Paper not yet in RePEc: Add citation now
  2. Acikgoz, H. ; Budak, U. ; Korkmaz, D. ; Yildiz, C. WSFNet: an efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network. 2021 Energy. 233 -

  3. Al-Sudani, Z.A. ; Salih, S.Q. ; Yaseen, Z.M. Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation. 2019 J. Hydrol.. 573 1-12
    Paper not yet in RePEc: Add citation now
  4. Bataille, C. ; Guivarch, C. ; Hallegatte, S. ; Rogelj, J. ; Waisman, H. Carbon prices across countries. 2018 Nat. Clim. Chang.. 8 648-650

  5. Benz, E. ; Trück, S. Modeling the price dynamics of CO2 emission allowances. 2009 Energy Econ.. 31 4-15

  6. Byun, S.J. ; Cho, H. Forecasting carbon futures volatility using GARCH models with energy volatilities. 2013 Energy Econ.. 40 207-221

  7. Cannizzaro, D. ; Aliberti, A. ; Bottaccioli, L. ; Macii, E. ; Acquaviva, A. ; Patti, E. Solar radiation forecasting based on convolutional neural network and ensemble learning. 2021 Expert Syst. Appl.. 181 -
    Paper not yet in RePEc: Add citation now
  8. Carratù, M. ; Chiarini, B. ; Piselli, P. Effects of European emission unit allowance auctions on corporate profitability. 2020 Energy Policy. 144 -

  9. Chen, H. ; Qiao, H. ; Xu, L. ; Feng, Q. ; Cai, K. A fuzzy optimization strategy for the implementation of RBF LSSVR model in vis-NIR analysis of pomelo maturity. 2019 IEEE Trans. Industr. Inform.. 15 5971-5979
    Paper not yet in RePEc: Add citation now
  10. Chen, Y. ; Hao, Y. A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction. 2017 Expert Syst. Appl.. 80 340-355
    Paper not yet in RePEc: Add citation now
  11. Chevallier, J. Carbon futures and macroeconomic risk factors: a view from the EU ETS. 2009 Energy Econ.. 31 614-625

  12. Chevallier, J. ; Nguyen, D.K. ; Reboredo, J.C. A conditional dependence approach to CO2-energy price relationships. 2019 Energy Econ.. 81 812-821

  13. Christiansen, A.C. ; Arvanitakis, A. ; Tangen, K. ; Hasselknippe, H. Price determinants in the EU emissions trading scheme. 2005 Clim. Pol.. 5 15-30

  14. Creti, A. ; Jouvet, P.A. ; Mignon, V. Carbon price drivers: phase I versus phase II equilibrium?. 2012 Energy Econ.. 34 327-334

  15. Dragomiretskiy, K. ; Zosso, D. Variational mode decomposition. 2013 IEEE Trans. Signal Process.. 62 531-544
    Paper not yet in RePEc: Add citation now
  16. Duan, K. ; Ren, X. ; Shi, Y. ; Mishra, T. ; Yan, C. The marginal impacts of energy prices on carbon price variations: evidence from a quantile-on-quantile approach. 2021 Energy Econ.. 95 -

  17. Fan, X. ; Li, S. ; Tian, L. Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model. 2015 Expert Syst. Appl.. 42 3945-3952
    Paper not yet in RePEc: Add citation now
  18. Fan, Y. ; Jia, J.J. ; Wang, X. ; Xu, J.H. What policy adjustments in the EU ETS truly affected the carbon prices?. 2017 Energy Policy. 103 145-164

  19. Feng, Z.H. ; Zou, L.L. ; Wei, Y.M. Carbon price volatility: evidence from EU ETS. 2011 Appl. Energy. 88 590-598

  20. Gilles, J. Empirical wavelet transform. 2013 IEEE Trans. Signal Process.. 61 3999-4010
    Paper not yet in RePEc: Add citation now
  21. Hammoudeh, S. ; Nguyen, D.K. ; Sousa, R.M. Energy prices and CO2 emission allowance prices: a quantile regression approach. 2014 Energy Policy. 70 201-206

  22. Hammoudeh, S. ; Nguyen, D.K. ; Sousa, R.M. What explain the short-term dynamics of the prices of CO2 emissions?. 2014 Energy Econ.. 46 122-135

  23. Han, M. ; Ding, L. ; Zhao, X. ; Kang, W. Forecasting carbon prices in the Shenzhen market, China: the role of mixed-frequency factors. 2019 Energy. 171 69-76

  24. Ho, L.V. ; Aczon, M. ; Ledbetter, D. ; Wetzel, R. Interpreting a recurrent neural network’s predictions of ICU mortality risk. 2021 J. Biomed. Inform.. 114 -
    Paper not yet in RePEc: Add citation now
  25. Huang, W. ; Wang, H. ; Qin, H. ; Wei, Y. ; Chevallier, J. Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method. 2022 Energy Econ.. 110 -

  26. Huang, Y. ; Dai, X. ; Wang, Q. ; Zhou, D. A hybrid model for carbon price forecasting using GARCH and long short-term memory network. 2021 Appl. Energy. 285 -

  27. Lempel, A. ; Ziv, J. On the complexity of finite sequences. 1976 IEEE Trans. Inf. Theory. 22 75-81
    Paper not yet in RePEc: Add citation now
  28. Li, H. ; Jin, F. ; Sun, S. ; Li, Y. A new secondary decomposition ensemble learning approach for carbon price forecasting. 2021 Knowl.-Based Syst.. 214 -
    Paper not yet in RePEc: Add citation now
  29. Lin, B. ; Xu, B. A non-parametric analysis of the driving factors of China’s carbon prices. 2021 Energy Econ.. 104 -

  30. Liu, H. ; Mi, X. ; Li, Y. ; Duan, Z. ; Xu, Y. Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional gated recurrent unit network and support vector regression. 2019 Renew. Energy. 143 842-854

  31. Liu, H. ; Shen, L. Forecasting carbon price using empirical wavelet transform and gated recurrent unit neural network. 2020 Carbon Manag.. 11 25-37
    Paper not yet in RePEc: Add citation now
  32. Liu, S. ; Lin, T. ; He, D. ; Li, F. ; Wang, M. ; Li, X. ; Ding, E. Adaattn: revisit attention mechanism in arbitrary neural style transfer. 2021 En : Proceedings of the IEEE/CVF International Conference on Computer Vision. :
    Paper not yet in RePEc: Add citation now
  33. Liu, Y. ; Yang, C. ; Huang, K. ; Gui, W. Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network. 2020 Knowl.-Based Syst.. 188 -
    Paper not yet in RePEc: Add citation now
  34. Liu, Z. ; Deng, Z. ; He, G. ; Wang, H. ; Zhang, X. ; Lin, J. ; Liang, X. Challenges and opportunities for carbon neutrality in China. 2021 Nat. Rev. Earth Environ.. 1-15
    Paper not yet in RePEc: Add citation now
  35. Lu, X. ; Du, J. ; Wang, G. ; Li, X. ; Sun, L. ; Zheng, L. ; Huang, X. Identifying multiple soil pollutions of potentially contaminated sites based on multi-gate mixture-of-experts network. 2023 Sci. Total Environ.. 903 -
    Paper not yet in RePEc: Add citation now
  36. Lundberg, S.M. ; Lee, S.I. A unified approach to interpreting model predictions. 2017 En : Advances in Neural Information Processing Systems. :
    Paper not yet in RePEc: Add citation now
  37. Lutz, B.J. ; Pigorsch, U. ; Rotfuß, W. Nonlinearity in cap-and-trade systems: the EUA price and its fundamentals. 2013 Energy Econ.. 40 222-232

  38. Mohanty, S. ; Gupta, K.K. ; Raju, K.S. Comparative study between VMD and EMD in bearing fault diagnosis. 2014 En : IEEE International Conference on Industrial and Information Systems. :
    Paper not yet in RePEc: Add citation now
  39. Molnar, C. Interpretable Machine Learning: A Guide for Making Black Box Models Expainable [M]. 2019 :
    Paper not yet in RePEc: Add citation now
  40. Paolella, M.S. ; Taschini, L. An econometric analysis of emission allowance prices. 2008 J. Bank. Financ.. 32 2022-2032

  41. Peng, L. ; Liu, S. ; Liu, R. ; Wang, L. Effective long short-term memory with differential evolution algorithm for electricity price prediction. 2018 Energy. 162 1301-1314

  42. Qin, Q. ; Cheng, S. ; Zhang, Q. ; Li, L. ; Shi, Y. Particle swarm optimization with interswarm interactive learning strategy. 2015 IEEE Trans. Cybern.. 46 2238-2251
    Paper not yet in RePEc: Add citation now
  43. Rehman, N. ; Mandic, D.P. Multivariate empirical mode decomposition. 2010 Proc. R. Soc. A Math. Phys. Eng. Sci.. 466 1291-1302
    Paper not yet in RePEc: Add citation now
  44. Ren, X.H. ; Duan, K. ; Tao, L.Z. ; Shi, Y.K. ; Yan, C. Carbon prices forecasting in quantiles. 2022 Energy Econ.. 108 -

  45. Ribeiro, M.T. ; Singh, S. ; Guestrin, C. “Why should I trust you?” Explaining the predictions of any classifier. 2016 En : Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. :
    Paper not yet in RePEc: Add citation now
  46. Rilling, G. ; Flandrin, P. ; Goncalves, P. On empirical mode decomposition and its algorithms. 2003 En : IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing. IEEER: Grado
    Paper not yet in RePEc: Add citation now
  47. Segnon, M. ; Lux, T. ; Gupta, R. Modeling and forecasting the volatility of carbon dioxide emission allowance prices: a review and comparison of modern volatility models. 2017 Renew. Sust. Energ. Rev.. 69 692-704

  48. Štrumbelj, E. ; Kononenko, I. Explaining prediction models and individual predictions with feature contributions. 2014 Knowl. Inf. Syst.. 41 647-665
    Paper not yet in RePEc: Add citation now
  49. Sun, S. ; Jin, F. ; Li, H. ; Li, Y. A new hybrid optimization ensemble learning approach for carbon price forecasting. 2021 Appl. Math. Model.. 97 182-205
    Paper not yet in RePEc: Add citation now
  50. Tan, X.P. ; Wang, X.Y. Dependence changes between the carbon price and its fundamentals: a quantile regression approach. 2017 Appl. Energy. 190 306-325

  51. Tian, C. ; Hao, Y. Point and interval forecasting for carbon price based on an improved analysis-forecast system. 2020 Appl. Math. Model.. 79 126-144
    Paper not yet in RePEc: Add citation now
  52. Tol, R.S. Policy brief—leaving an emissions trading scheme: implications for the United Kingdom and the European Union. 2020 Rev. Environ. Econ. Policy.. 12 183-189
    Paper not yet in RePEc: Add citation now
  53. Vapnik, V. The nature of statistical learning theory. 1999 En : Data Mining and Knowledge Discovery. Springer science & business media:
    Paper not yet in RePEc: Add citation now
  54. Vaswani, A. ; Shazeer, N. ; Parmar, N. ; Uszkoreit, J. ; Jones, L. ; Gomez, A.N. ; Polosukhin, I. Attention is all you need. 2017 Adv. Neural Inf. Proces. Syst.. 30 -
    Paper not yet in RePEc: Add citation now
  55. Wang, D. ; Luo, H. ; Grunder, O. ; Lin, Y. Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction. 2017 Renew. Energy. 113 1345-1358

  56. Wang, J. ; Cao, J. ; Yuan, S. ; Cheng, M. Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network. 2021 Energy. 233 -

  57. Wang, J. ; Cui, Q. ; Sun, X. A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression. 2021 J. Clean. Prod.. 314 -
    Paper not yet in RePEc: Add citation now
  58. Wang, J. ; Sun, X. ; Cheng, Q. ; Cui, Q. An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting. 2021 Sci. Total Environ.. 762 -
    Paper not yet in RePEc: Add citation now
  59. Wang, X. ; Girshick, R. ; Gupta, A. ; He, K. Non-local neural networks. 2018 En : Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. :
    Paper not yet in RePEc: Add citation now
  60. Wang, X.B. ; Yang, Z.X. ; Yan, X.A. Novel particle swarm optimization-based variational mode decomposition method for the fault diagnosis of complex rotating machinery. 2018 IEEE/ASME Trans. Mechatron.. 23 68-79
    Paper not yet in RePEc: Add citation now
  61. Wei, S. ; Chongchong, Z. ; Cuiping, S. Carbon pricing prediction based on wavelet transform and K-ELM optimized by bat optimization algorithm in China ETS: the case of Shanghai and Hubei carbon markets. 2018 Carbon Manag.. 9 605-617
    Paper not yet in RePEc: Add citation now
  62. Wu, Z. ; Huang, N.E. Ensemble empirical mode decomposition: a noise-assisted data analysis method. 2009 Adv. Adapt. Data Anal.. 1 1-41
    Paper not yet in RePEc: Add citation now
  63. Zeng, S. ; Nan, X. ; Liu, C. ; Chen, J. The response of the Beijing carbon emissions allowance price (BJC) to macroeconomic and energy price indices. 2017 Energy Policy. 106 111-121

  64. Zhang, D. ; Peng, X. ; Pan, K. ; Liu, Y. A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine. 2019 Energy Convers. Manag.. 180 338-357
    Paper not yet in RePEc: Add citation now
  65. Zhang, J. ; Li, D. ; Hao, Y. ; Tan, Z. A hybrid model using signal processing technology, econometric models and neural network for carbon spot price forecasting. 2018 J. Clean. Prod.. 204 958-964
    Paper not yet in RePEc: Add citation now
  66. Zhang, W. ; Wu, Z. Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine. 2022 J. Forecast.. 41 615-632

  67. Zhang, Y. ; Liu, X. ; Bao, F. ; Chi, J. ; Zhang, C. ; Liu, P. Particle swarm optimization with adaptive learning strategy. 2020 Knowl.-Based Syst.. 196 -
    Paper not yet in RePEc: Add citation now
  68. Zhang, Y.J. ; Sun, Y.F. The dynamic volatility spillover between European carbon trading market and fossil energy market. 2016 J. Clean. Prod.. 112 2654-2663
    Paper not yet in RePEc: Add citation now
  69. Zhao, L.T. ; Miao, J. ; Qu, S. ; Chen, X.H. A multi-factor integrated model for carbon price forecasting: market interaction promoting carbon emission reduction. 2021 Sci. Total Environ.. 796 -
    Paper not yet in RePEc: Add citation now
  70. Zhao, X. ; Han, M. ; Ding, L. ; Kang, W. Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS. 2018 Appl. Energy. 216 132-141

  71. Zhou, S. ; Tong, Q. ; Pan, X. ; Cao, M. ; Wang, H. ; Gao, J. ; Ou, X. Research on low-carbon energy transformation of China necessary to achieve the Paris agreement goals: a global perspective. 2021 Energy Econ.. 95 -

  72. Zhu, B. ; Han, D. ; Wang, P. ; Wu, Z. ; Zhang, T. ; Wei, Y.M. Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression. 2017 Appl. Energy. 191 521-530

  73. Zhu, B. ; Wang, P. ; Chevallier, J. ; Wei, Y.M. Carbon price analysis using empirical mode decomposition. 2015 Comput. Econ.. 45 195-206

  74. Zhu, B. ; Wei, Y.M. Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology. 2013 OMEGA Int. J. Manag. Sci.. 41 517-524

  75. Zhu, B. ; Ye, S. ; Han, D. ; Wang, P. ; He, K. ; Wei, Y.M. ; Xie, R. A multiscale analysis for carbon price drivers. 2019 Energy Econ.. 78 202-216

  76. Zhu, B. ; Ye, S. ; Wang, P. ; He, K. ; Zhang, T. ; Wei, Y.M. A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting. 2018 Energy Econ.. 70 143-157

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  25. The social cost of carbon and inequality: when local redistribution shapes global carbon prices. (2019). Klenert, David ; Fleurbaey, Marc ; Edenhofer, Ottmar ; Kornek, Ulrike.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_7628.

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