Cited by 181Stock Market Forecasting MethodsMachine Learning and ELMForecasting Techniques and Applications

Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm

Sun, Wei, Zhang, Chongchong·2018·Applied Energy

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Crossref · 10.1016/j.apenergy.2018.09.118

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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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 [769]

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Authors
Sun, W., & Zhang, C.
Affiliations
North China Electric Power University (CN)
Corresponding author
Zhang, Chongchong
Venue
Applied Energy
Publisher
Elsevier BV
Published
2018-12
Volume
231
Pages
1354-1371
ISSN
0306-2619 (ISSN-L)
OpenAlex
W2890866454
Cited by
181
References
28
Citations by year
2026: 14 · 2025: 16 · 2024: 28 · 2023: 28 · 2022: 34 · 2021: 33 · 2020: 16 · 2019: 12
FWCI
12.17
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
Keywords
carbon price forecasting, extreme learning machine, hybrid forecasting model, emissions trading, EU Emissions Trading System, carbon futures, non-stationary time series, feature selection

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