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  Global low carbon transitions in the power sector: A machine learning clustering approach using archetypes
 
 
Title: Global low carbon transitions in the power sector: A machine learning clustering approach using archetypes
Author: Alotaiq, Abdullah
Appeared in: Journal of economy and technology
Paging: Volume 2 () nr. C pages 95-127
Year: 2024
Contents:
Publisher: KeAi Communications Co., Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 10 of 23 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands