MLP-Carbon: A new paradigm integrating multi-frequency and multi-scale techniques for accurate carbon price forecasting
Z Tian, W Sun, C Wu - Applied Energy, 2025 - Elsevier
Accurate carbon price forecasting is crucial for market participants, as it facilitates decision-
making based on comprehensive information, thereby ensuring effective management and …
making based on comprehensive information, thereby ensuring effective management and …
Forecasting carbon price in Hubei Province using a mixed neural model based on mutual information and Multi-head Self-Attention
Y Ren, Y Huang, Y Wang, L **a, D Wu - Journal of Cleaner Production, 2025 - Elsevier
Accurate carbon price forecasting holds significant practical importance for the Chinese
government in formulating region-specific carbon reduction policies, balancing supply, and …
government in formulating region-specific carbon reduction policies, balancing supply, and …
[HTML][HTML] A study on the carbon emission futures price prediction
This study focus on predicting prices of carbon emission futures using a range of
methodologies, including traditional ARIMA models and machine learning algorithms. Our …
methodologies, including traditional ARIMA models and machine learning algorithms. Our …
A importance-based ensemble method using an adaptive threshold searching for feature selection
Y Zhuang, Z Fan, J Gou, Y Huang, W Feng - Expert Systems with …, 2025 - Elsevier
Current single feature selection algorithms have certain limitations when it comes to
effectively addressing challenges presented by various tasks and data contexts. As a result …
effectively addressing challenges presented by various tasks and data contexts. As a result …
A hybrid model for carbon price forecasting based on SSA-NSTransformer: Considering the role of multi-stage carbon reduction targets
J Li, Y Guo - Journal of Environmental Management, 2025 - Elsevier
In order to reduce the unpredictability of carbon prices caused by their increasingly
prominent environmental and market attributes, and to minimize their negative impact on …
prominent environmental and market attributes, and to minimize their negative impact on …
Introduction to the special issue on recent advances on digital economy-oriented artificial intelligence
The digital economy (DE) generally refers to a new economic form in which digital
technology is used to improve the quality of economic activities. Digital technology is …
technology is used to improve the quality of economic activities. Digital technology is …