A New Algorithm of Parameter Estimation for the Logistic Equation in Modeling CO2 Emissions from Fossil Fuel Combustion
Joint Authors
Niu, Dongxiao
Gao, Qian
Meng, Ming
Shang, Wei
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-20
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
CO2 emissions from fossil fuel combustion have been considered as the most important driving factor of global climate change.
A complete understanding of the rules of CO2 emissions is warranted in modifying the climate change mitigation policy.
The current paper advanced a new algorithm of parameter estimation for the logistic equation, which was used to simulate the trend of CO2 emissions from fossil fuel combustion.
The differential equation of the transformed logistic equation was used as the beginning of the parameter estimation.
A discretization method was then designed to input the observed samples.
After minimizing the residual sum of squares and letting the summation of the residual be equal to 0, the estimated parameters were obtained.
Finally, this parameter estimation algorithm was applied to the carbon emissions in China to examine the simulation precision.
The error analysis indicators mean absolute percentage error (MAPE), median absolute percentage error (MdAPE), maximal absolute percentage error (MaxAPE), and geometric mean relative absolute error (GMRAE) all showed that the new algorithm was better than the previous ones.
American Psychological Association (APA)
Meng, Ming& Shang, Wei& Niu, Dongxiao& Gao, Qian. 2014. A New Algorithm of Parameter Estimation for the Logistic Equation in Modeling CO2 Emissions from Fossil Fuel Combustion. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-485397
Modern Language Association (MLA)
Meng, Ming…[et al.]. A New Algorithm of Parameter Estimation for the Logistic Equation in Modeling CO2 Emissions from Fossil Fuel Combustion. Mathematical Problems in Engineering No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-485397
American Medical Association (AMA)
Meng, Ming& Shang, Wei& Niu, Dongxiao& Gao, Qian. A New Algorithm of Parameter Estimation for the Logistic Equation in Modeling CO2 Emissions from Fossil Fuel Combustion. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-485397
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485397