An intelligently adjusted carbon price forecasting approach based on breakpoints segmentation, feature selection and adaptive machine learning-Reference-Cited by-同舟云学术

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An intelligently adjusted carbon price forecasting approach based on breakpoints segmentation, feature selection and adaptive machine learning

Published:2023-12 Issue: Volume:149 Page:110948
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhao Shunyu,Wang Yelin^ORCID,Deng Gen,Yang Ping,Chen Zhi,Li Youjie

Publisher

Elsevier BV

Subject

Software

Reference44 articles.

1. A novel carbon price prediction model based on optimized least square support vector machine combining characteristic-scale decomposition and phase space reconstruction;Sun;Energy,2022

2. The effect of global warming on mortality;Calleja-Agius;Early Hum. Dev.,2020

3. The EU emissions trading scheme;Bailey;Wiley Interdiscip. Rev. -Clim. Chang.,2010

4. Impacts of the carbon emission trading system on China’s carbon emission peak: a new data-driven approach;Wu;Nat. Hazards,2021

5. Review of recent progress of emission trading policy in China;Huang;J. Clean. Prod.,2022

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1. Carbon futures price forecasting based on feature selection;Engineering Applications of Artificial Intelligence;2024-09

2. A Hybrid Model for Carbon Price Forecasting Based on Improved Feature Extraction and Non-Linear Integration;Mathematics;2024-05-07

3. Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model;Applied Soft Computing;2024-05

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