Driving factors analysis and scenario prediction of CO2 emissions in power industries of key provinces along the Yellow River based on LMDI and BP neural network

Driving factors analysis and scenario prediction of CO2 emissions in power industries of key provinces along the Yellow River based on LMDI and BP neural network

IntroductionPower industry is one of the largest sources of CO2 emissions in China. The Yellow River Basin plays a supportive role in guaranteeing the effective supply of electricity nationwide, with numerous power generation bases. Understanding the drivers and peak of CO2 emissions of power indust...

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Bibliographic Details
Main Authors: Chuanbao Wu, Shuang Sun, Yingying Cui, Shuangyin Xing
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Ecology and Evolution
Subjects:
provincial power industry along the Yellow River
CO2 emissions peak
Logarithmic Mean Divisia Index
back propagation neural network
scenario prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fevo.2024.1362541/full

Internet

https://www.frontiersin.org/articles/10.3389/fevo.2024.1362541/full

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