EconPapers    
Economics at your fingertips  
 

Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method

Wenyang Huang, Huiwen Wang, Haotong Qin, Yigang Wei and Julien Chevallier
Additional contact information
Julien Chevallier: LED - Laboratoire d'Economie Dionysien - UP8 - Université Paris 8 Vincennes-Saint-Denis

Post-Print from HAL

Date: 2022-06
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Published in Energy Economics, 2022, 110, pp.106049. ⟨10.1016/j.eneco.2022.106049⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-04250297

DOI: 10.1016/j.eneco.2022.106049

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-19
Handle: RePEc:hal:journl:halshs-04250297