Modeling of Brazilian Carbon Dioxide Emissions: a Review
Braz. arch. biol. technol
;
65: e22210594, 2022. tab, graf
Artículo
en Inglés
|
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:
Disponible
Índice:
LILACS (Américas)
Tipo de estudio:
Estudio pronóstico
País/Región como asunto:
America del Sur
/
Brasil
Idioma:
Inglés
Revista:
Braz. arch. biol. technol
Asunto de la revista:
Biologia
Año:
2022
Tipo del documento:
Artículo
País de afiliación:
Brasil
Institución/País de afiliación:
Federal University of Bahia/BR
Similares
MEDLINE
...
LILACS
LIS