Forecasting of Energy-Related CO2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability

Forecasting of Energy-Related CO2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability

Presently, China is the largest CO2 emitting country in the world, which accounts for 28% of the CO2 emissions globally. China’s CO2 emission reduction has a direct impact on global trends. Therefore, accurate forecasting of CO2 emissions is crucial to China’s emission reduction policy formulating a...

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Bibliographic Details
Main Authors: Shuyu Dai, Dongxiao Niu, Yaru Han
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sustainability
Subjects:
CO2 emissions forecasting
GM(1,1)
least squares support vector machine
modified shuffled frog leaping algorithm
influencing factors
Online Access:http://www.mdpi.com/2071-1050/10/4/958

Internet

http://www.mdpi.com/2071-1050/10/4/958

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