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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...

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Huvudupphov: Ruixia Suo, Qi Wang, Yuanyuan Tan, Qiutong Han
Materialtyp: Artigo
Språk:Inglês
Utgiven: Nature Portfolio 2024-04-01
Serie:Scientific Reports
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Länkar:https://doi.org/10.1038/s41598-024-58966-z
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