Management and estimation of thermal comfort, carbon dioxide emission and economic growth by support vector machine

2016 ◽  
Vol 64 ◽  
pp. 466-476 ◽  
Author(s):  
Igor Mladenović ◽  
Svetlana Sokolov-Mladenović ◽  
Milos Milovančević ◽  
Dušan Marković ◽  
Nenad Simeunović
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Support Vector Machine ◽  
Thermal Comfort ◽  
Carbon Dioxide Emission ◽  
Support Vector

scholarly journals Carbon dioxide emission prediction using support vector machine

2016 ◽  
Vol 114 ◽  
pp. 012148 ◽  
Author(s):  
Chairul Saleh ◽  
Nur Rachman Dzakiyullah ◽  
Jonathan Bayu Nugroho
Keyword(s):  
Carbon Dioxide ◽  
Support Vector Machine ◽  
Carbon Dioxide Emission ◽  
Support Vector

Prediction of solubility of carbon dioxide in different polymers using support vector machine algorithm

2015 ◽  
Vol 46 ◽  
pp. 205-213 ◽  
Author(s):  
Hossein Ziaee ◽  
Seyyed Mohsen Hosseini ◽  
Abdolmajid Sharafpoor ◽  
Mohammad Fazavi ◽  
Mohammad Mahdi Ghiasi ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Support Vector Machine ◽  
Support Vector ◽  
Support Vector Machine Algorithm

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

Data-driven thermal comfort model via support vector machine algorithms: Insights from ASHRAE RP-884 database

2020 ◽  
Vol 211 ◽  
pp. 109795 ◽  
Author(s):  
Xiang Zhou ◽  
Ling Xu ◽  
Jingsi Zhang ◽  
Bing Niu ◽  
Maohui Luo ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Thermal Comfort ◽  
Data Driven ◽  
Support Vector ◽  
Thermal Comfort Model

scholarly journals Is China’s target of a 40-45% reduction in carbon dioxide emission plausible?

2017 ◽  
Vol 5 (1) ◽  
pp. 46-50 ◽  
Author(s):  
Mpho Bosupeng
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Environmental Preservation ◽  
Carbon Taxation ◽  
Reduce Emissions ◽  
Potential Damage ◽  
Reduce Carbon Dioxide

AbstractIn the early days of industrialisation, economists believed that the ramifications of economic growth will far outweigh the potential damage to the environment. Today the concern is the rising magnitude of emissions. Many economies are under immense pressure to reduce carbon dioxide emissions. Carbon taxation and absorption technologies seem to be the main mechanisms controlling emissions in different nations. China proposed her target of reducing carbon dioxide emissions by 40-45% by 2025. The purpose of this study is to determine if China’s ambition of reducing its carbon dioxide emissions is feasible. This investigation also examines the potential effects of China's emissions on the economic growth of other countries. The study demonstrates that China’s target may not only reduce her output, but may also adversely affect the economic growth of others. This article further reveals that unemployment in China is likely to soar during the reduction in emissions and energy consumption. Additionally, this paper evaluates the effects of green taxation on carbon dioxide emissions. In conclusion, there is a possibility that China may reach her emissions target by 2025. However, the country faces a dilemma between economic growth and environmental preservation. It is recommended that China should explore techniques which will reduce emissions but not impinge negatively on economic growth.

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