Short-term contrarian in the carbon emission market DOI
Ling Xin

Energy Economics, Год журнала: 2024, Номер unknown, С. 107903 - 107903

Опубликована: Сен. 1, 2024

Язык: Английский

Framework for multivariate carbon price forecasting: A novel hybrid model DOI

Xuankai Zhang,

Ying Zong,

Pei Du

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 369, С. 122275 - 122275

Опубликована: Авг. 31, 2024

Язык: Английский

Процитировано

11

Carbon Price Point and Interval-Valued Prediction Based on a Novel Hybrid Model DOI Creative Commons
Haoyu Chen,

Qunli Wu,

C. Han

и другие.

Energies, Год журнала: 2025, Номер 18(5), С. 1054 - 1054

Опубликована: Фев. 21, 2025

Accurate carbon price forecasting enables the steady operation of trading market and optimal resource allocation while also empowering participants to understand dynamics make informed decisions, ultimately supporting sustainable development in market. While early research primarily focused on point single-value price, recent studies have shifted towards interval prediction, although there is still a lack dedicated developing models for interval-valued predictions. The importance lies its ability better capture upper lower bounds range across different time dimensions, thereby revealing intrinsic patterns trends fluctuations assisting comprehensively volatility. This study offers novel approach based CEEMDAN-CNN-BiLSTM-SENet hybrid model, providing framework both model makes more comprehensive analysis possible by combining predictions from these two approaches. In case using Hubei market’s data, mean absolute percentage error pricing was 0.8125%, with MAPE highest lowest prices being 1.8898% 1.7852%, respectively—both outperforming other comparative models. results demonstrate that this can measure effectively.

Язык: Английский

Процитировано

1

A dual decomposition integration and error correction model for carbon price prediction DOI
Yanan Li, Xinsheng Zhang, Minghu Wang

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 374, С. 124035 - 124035

Опубликована: Янв. 10, 2025

Язык: Английский

Процитировано

0

A hybrid model for carbon price forecasting based on SSA-NSTransformer: Considering the role of multi-stage carbon reduction targets DOI
Jinchao Li, Yuwei Guo

Journal of Environmental Management, Год журнала: 2025, Номер 375, С. 124237 - 124237

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

0

A novel probabilistic carbon price prediction model: Integrating the transformer framework with mixed-frequency modeling at different quartiles DOI

Mingyang Ji,

Jian Du, Pei Du

и другие.

Applied Energy, Год журнала: 2025, Номер 391, С. 125951 - 125951

Опубликована: Апрель 21, 2025

Язык: Английский

Процитировано

0

Carbon price prediction based on multidimensional association rules and optimized multi-factor LSTM model DOI
Xinqi Tu, Lianlian Fu, Lingling Wang

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 136768 - 136768

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

A novel carbon price forecasting model integrating mixed-frequency modeling into the transformer architecture from a multi-factor perspective DOI

Mingyang Ji,

Juntao Du, Pei Du

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер 289, С. 128300 - 128300

Опубликована: Май 30, 2025

Язык: Английский

Процитировано

0

An optimal weight heterogeneous integrated carbon price prediction model based on temporal information extraction and specific comprehensive feature selection DOI
Jujie Wang, S. B. Xu, Shuqin Shu

и другие.

Energy, Год журнала: 2024, Номер 312, С. 133654 - 133654

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

2

Forecasting carbon futures returns using feature selection and Markov chain with sample distribution DOI
Yuan Zhao, Xue Gong,

Weiguo Zhang

и другие.

Energy Economics, Год журнала: 2024, Номер 140, С. 107962 - 107962

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

1

Carbon Price Point–Interval Forecasting Based on Two-Layer Decomposition and Deep Learning Combined Model Using Weight Assignment DOI
Xiwen Cui, Dongxiao Niu

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144124 - 144124

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1