Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression
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ML can be used to analyze prices within cap-and-trade markets, for example by predicting prices via supervised learning or analyzing the main drivers of prices via hierarchical clustering.
“ML can be used to analyze prices within these markets, for example by predicting prices via supervised learning [769,834,890,892] or analyzing the main drivers of prices via hierarchical clustering [891].”
From Tackling climate change with machine learning (2023) · cites this paper as [890]
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- Authors
- Zhu, B., Han, D., Wang, P., Wu, Z., Zhang, T., & Wei, Y.-M.
- Affiliations
- Jinan University (CN)
- University of Birmingham (GB)
- Beijing Institute of Technology (CN)
- Corresponding author
- Zhu, Bangzhu
- Wu, Zhanchi
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 191
- Pages
- 521-530
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2586354609
- Cited by
- 307
- References
- 47
- Citations by year
- 2026: 22 · 2025: 46 · 2024: 43 · 2023: 45 · 2022: 39 · 2021: 29 · 2020: 25 · 2019: 32 · 2018: 23 · 2017: 3
- FWCI
- 20.11
- Type
- journal article
- Language
- en
- Open access
- green
- dspace.lboro.ac.uk
- Licence
- Locations
- Applied Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by-nc-nd)
- Funders
- National Natural Science Foundation of China (NSFC) (71473180, 71201010, 71303174, 71303076, 71673083)
- National Philosophy and Social Science Foundation of China (14AZD068, 15ZDA054, 16ZZD049)
- Guangdong Young Zhujiang Scholar
- Natural Science Foundation for Distinguished Young Talents of Guangdong (2014A030306031)
- Soft Science Foundation of Guangdong (2014A070703062)
- Social Science Foundation of Guangdong (GD14XYJ21)
- Distinguished Young Teachers of Guangdong ([2014]145, [2013]246)
- High-level Personnel Project of Guangdong
- Guangdong Key Base of Humanities
- Social Science—Enterprise Development Research Institute
- Institute of Resource, Environment and Sustainable Development Research
- Guangzhou key Base of Humanities and Social Science—Centre for Low Carbon Economic Research
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Load and Power Forecasting
- Keywords
- carbon price forecasting, empirical mode decomposition, particle swarm optimization, carbon futures, EU Emissions Trading System
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