A new hybrid optimization ensemble learning approach for carbon price forecasting

Accurate carbon price forecast plays a vital role in energy conservation, emission reduction and environmental protection. In previous studies, more attention was focused on the prediction accuracy and stability, while the problem of disharmony between the prediction model and the data pattern is us...

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Vydáno v:	Applied Mathematical Modelling Ročník 97; s. 182
Hlavní autoři:	Sun, Shaolong, Jin, Feng, Li, Hongtao, Li, Yongwu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier BV 01.09.2021
Témata:	Algorithms Carbon Decomposition Emission analysis Emissions control Ensemble learning Entropy Environmental protection Forecasting Matching Mathematical models Neural networks Optimization Optimization algorithms Prediction models
ISSN:	1088-8691, 0307-904X
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