Modeling of Brazilian Carbon Dioxide Emissions: a Review
Braz. arch. biol. technol
;
65: e22210594, 2022. tab, graf
Article
in English
|
LILACS-Express
| LILACS
| ID: biblio-1364464
ABSTRACT
Abstract: Brazil is a signatory to the Paris Agreement and aims to reduce 43% of CO2 emissions by 2030, compared to 2005. However, changes in energy policies are needed to achieve this goal, evaluating the produced effects on emissions. One way to predict these effects is through mathematical modeling. In this paper, we carried out a literature review to identify the most used model types and independent variables to forecasting Brazilian CO2 emissions. The review showed that gray models and artificial neural networks are the most used ones. Furthermore, we also identified that economic growth and energy consumption are the main independent variables.
Full text:
Available
Index:
LILACS (Americas)
Type of study:
Prognostic study
Country/Region as subject:
South America
/
Brazil
Language:
English
Journal:
Braz. arch. biol. technol
Journal subject:
Biology
Year:
2022
Type:
Article
Affiliation country:
Brazil
Institution/Affiliation country:
Federal University of Bahia/BR
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