Forecasting carbon price using signal processing technology and extreme gradient boosting optimized...
Forecasting carbon price using signal processing technology and extreme gradient boosting optimized by the whale optimization algorithm
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Publisher
London: John Wiley & Sons, Inc
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Language
English
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Publisher
London: John Wiley & Sons, Inc
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Predicting carbon prices is crucial for the growth of China's carbon trading industry. This paper proposes a residual correction model that considers multiple influencing factors. First, the best historical data and main external factors input by the model are determined by using the partial autocorrelation function and Spearman correlation analysi...
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Full title
Forecasting carbon price using signal processing technology and extreme gradient boosting optimized by the whale optimization algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_f7920d9fcf1240ae913e3599d6eb8f0d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f7920d9fcf1240ae913e3599d6eb8f0d
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ISSN
2050-0505
E-ISSN
2050-0505
DOI
10.1002/ese3.1655
