Greenhouse gases emissions and electric power generation in Latin American countries in the period 2006–2013

Leadina Sánchez; Carmen Vásquez; Amelec Viloria; Lizeth Rodríguez Potes

doi:10.1007/978-3-319-93803-5_73

Greenhouse gases emissions and electric power generation in Latin American countries in the period 2006–2013

Leadina Sánchez
, Carmen Vásquez
, Amelec Viloria
, Lizeth Rodríguez Potes

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

9 Citas (Scopus)

Resumen

The objective of this study is to classify the group of countries that contributes to the emissions of GHG gases in relation to their electric power generation. The data used for this classification are those reported by OLADE during the period from 2006 to 2013. The results show that they were organized in four (4) clusters, dividing them into efficient and inefficient levels. In the highest efficient level is Brazil, while in the lowest efficient level are Colombia, Costa Rica, El Salvador, Panama, Paraguay, Peru, Uruguay, and Venezuela. Argentina and Mexico are in the highest inefficient level, while the rest of the Latin American countries are in the lowest inefficient level. The countries located at the efficient and inefficient levels were labeled as most emitting countries and least emitting countries.

Idioma original	Inglés
Título de la publicación alojada	Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings
Editores	Yuhui Shi, Qirong Tang, Ying Tan
Editorial	Springer Verlag
Páginas	777-785
Número de páginas	9
ISBN (versión impresa)	9783319938028
DOI	https://doi.org/10.1007/978-3-319-93803-5_73
Estado	Publicada - 2018
Evento	3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018 - Shanghai, China Duración: 17 jun. 2018 → 22 jun. 2018

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	10943 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018
País/Territorio	China
Ciudad	Shanghai
Período	17/06/18 → 22/06/18

Nota bibliográfica

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

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10.1007/978-3-319-93803-5_73

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Sánchez, L., Vásquez, C., Viloria, A., & Rodríguez Potes, L. (2018). Greenhouse gases emissions and electric power generation in Latin American countries in the period 2006–2013. En Y. Shi, Q. Tang, & Y. Tan (Eds.), Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings (pp. 777-785). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10943 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-93803-5_73

Sánchez, Leadina ; Vásquez, Carmen ; Viloria, Amelec et al. / Greenhouse gases emissions and electric power generation in Latin American countries in the period 2006–2013. Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings. editor / Yuhui Shi ; Qirong Tang ; Ying Tan. Springer Verlag, 2018. pp. 777-785 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The objective of this study is to classify the group of countries that contributes to the emissions of GHG gases in relation to their electric power generation. The data used for this classification are those reported by OLADE during the period from 2006 to 2013. The results show that they were organized in four (4) clusters, dividing them into efficient and inefficient levels. In the highest efficient level is Brazil, while in the lowest efficient level are Colombia, Costa Rica, El Salvador, Panama, Paraguay, Peru, Uruguay, and Venezuela. Argentina and Mexico are in the highest inefficient level, while the rest of the Latin American countries are in the lowest inefficient level. The countries located at the efficient and inefficient levels were labeled as most emitting countries and least emitting countries.",

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Sánchez, L, Vásquez, C, Viloria, A & Rodríguez Potes, L 2018, Greenhouse gases emissions and electric power generation in Latin American countries in the period 2006–2013. En Y Shi, Q Tang & Y Tan (eds.), Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10943 LNCS, Springer Verlag, pp. 777-785, 3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018, Shanghai, China, 17/06/18. https://doi.org/10.1007/978-3-319-93803-5_73

Greenhouse gases emissions and electric power generation in Latin American countries in the period 2006–2013. / Sánchez, Leadina; Vásquez, Carmen; Viloria, Amelec et al.
Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings. ed. / Yuhui Shi; Qirong Tang; Ying Tan. Springer Verlag, 2018. p. 777-785 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10943 LNCS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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T1 - Greenhouse gases emissions and electric power generation in Latin American countries in the period 2006–2013

AU - Sánchez, Leadina

AU - Vásquez, Carmen

AU - Viloria, Amelec

AU - Rodríguez Potes, Lizeth

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

Y1 - 2018

N2 - The objective of this study is to classify the group of countries that contributes to the emissions of GHG gases in relation to their electric power generation. The data used for this classification are those reported by OLADE during the period from 2006 to 2013. The results show that they were organized in four (4) clusters, dividing them into efficient and inefficient levels. In the highest efficient level is Brazil, while in the lowest efficient level are Colombia, Costa Rica, El Salvador, Panama, Paraguay, Peru, Uruguay, and Venezuela. Argentina and Mexico are in the highest inefficient level, while the rest of the Latin American countries are in the lowest inefficient level. The countries located at the efficient and inefficient levels were labeled as most emitting countries and least emitting countries.

AB - The objective of this study is to classify the group of countries that contributes to the emissions of GHG gases in relation to their electric power generation. The data used for this classification are those reported by OLADE during the period from 2006 to 2013. The results show that they were organized in four (4) clusters, dividing them into efficient and inefficient levels. In the highest efficient level is Brazil, while in the lowest efficient level are Colombia, Costa Rica, El Salvador, Panama, Paraguay, Peru, Uruguay, and Venezuela. Argentina and Mexico are in the highest inefficient level, while the rest of the Latin American countries are in the lowest inefficient level. The countries located at the efficient and inefficient levels were labeled as most emitting countries and least emitting countries.

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Sánchez L, Vásquez C, Viloria A, Rodríguez Potes L. Greenhouse gases emissions and electric power generation in Latin American countries in the period 2006–2013. En Shi Y, Tang Q, Tan Y, editores, Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings. Springer Verlag. 2018. p. 777-785. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-93803-5_73