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  A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China
 
 
Title: A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China
Author: Shi, Hanxiao
Wei, Anlei
Xu, Xiaozhen
Zhu, Yaqi
Hu, Hao
Tang, Songjun
Appeared in: Journal of environmental management
Paging: Volume 352 () nr. C pages p.
Year: 2024
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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 Koninklijke Bibliotheek - National Library of the Netherlands