An innovative MGM–BPNN–ARIMA model for China’s energy consumption structure forecasting from the perspective of compositional data

Abstract Effective forecasting of energy consumption structure is vital for China to reach its “dual carbon” objective. However, little attention has been paid to existing studies on the holistic nature and internal properties of energy consumption structure. Therefore, this paper incorporates the t...

Descripció completa

Dades bibliogràfiques

Autors principals:	Ruixia Suo, Qi Wang, Yuanyuan Tan, Qiutong Han
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2024-04-01
Col·lecció:	Scientific Reports
Matèries:	Aitchison distance Compositional data Combined model Energy consumption structure
Accés en línia:	https://doi.org/10.1038/s41598-024-58966-z
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!