Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm

Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm

Carbon emissions and environmental protection issues have brought pressure from the international community during Chinese economic development. Recently, Chinese Government announced that carbon emissions per unit of GDP would fall by 60–65% compared with 2005 and non-fossil fuel energy w...

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Bibliographic Details
Main Authors: Menglu Li, Wei Wang, Gejirifu De, Xionghua Ji, Zhongfu Tan
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Energies
Subjects:
carbon emissions forecasting
grey prediction theory
extreme learning machine
support vector machine
energy consumption structure
Online Access:http://www.mdpi.com/1996-1073/11/9/2475

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http://www.mdpi.com/1996-1073/11/9/2475

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