Decomposition and Forecasting of CO<sub>2</sub> Emissions in China’s Power Sector Based on STIRPAT Model with Selected PLS Model and a Novel Hybrid PLS-Grey-Markov Model

China faces significant challenges related to global warming caused by CO<sub>2</sub> emissions, and the power industry is a large CO<sub>2</sub> emitter. The decomposition and accurate forecasting of CO<sub>2</sub> emissions in China&#8217;s power sector are...

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Dades bibliogràfiques
Autors principals: Herui Cui, Ruirui Wu, Tian Zhao
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2018-11-01
Col·lecció:Energies
Matèries:
power industry
CO<sub>2</sub> emissions forecasting
driving factors
partial least square (PLS) model
stochastic impacts by regression on population
affluence and technology (STIRPAT) model
PLS-Grey-Markov optimized approach
Accés en línia:https://www.mdpi.com/1996-1073/11/11/2985
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