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Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by...

Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7cffd4c8eb6a4ae8b0769771021e9a98

Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm

About this item

Full title

Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-10, Vol.13 (1), p.18447-23, Article 18447

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

It is essential to predict carbon prices precisely in order to reduce CO
2
emissions and mitigate global warming. As a solution to the limitations of a single machine learning model that has insufficient forecasting capability in the carbon price prediction problem, a carbon price prediction model (GWO–XGBOOST–CEEMDAN) based on the combinatio...

Alternative Titles

Full title

Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7cffd4c8eb6a4ae8b0769771021e9a98

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7cffd4c8eb6a4ae8b0769771021e9a98

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-45524-2

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