Modeling of Brazilian Carbon Dioxide Emissions: a Review
Braz. arch. biol. technol
;
65: e22210594, 2022. tab, graf
Artigo
em Inglês
|
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.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Tipo de estudo:
Estudo prognóstico
País/Região como assunto:
América do Sul
/
Brasil
Idioma:
Inglês
Revista:
Braz. arch. biol. technol
Assunto da revista:
Biologia
Ano de publicação:
2022
Tipo de documento:
Artigo
País de afiliação:
Brasil
Instituição/País de afiliação:
Federal University of Bahia/BR
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