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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

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.

Original language	English
Title of host publication	Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings
Editors	Yuhui Shi, Qirong Tang, Ying Tan
Publisher	Springer Verlag
Pages	777-785
Number of pages	9
ISBN (Print)	9783319938028
DOIs	https://doi.org/10.1007/978-3-319-93803-5_73
State	Published - 2018
Event	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 Duration: 17 Jun 2018 → 22 Jun 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10943 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018
Country/Territory	China
City	Shanghai
Period	17/06/18 → 22/06/18

Bibliographical note

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

Keywords

Greenhouse gases
Latin America
Less emitters
More emitters
Power generation

Access to Document

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

Cite this

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. In 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)).

@inproceedings{1f7f5fb1d14e46d789c421b43ba3a4d7,

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

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.",

keywords = "Greenhouse gases, Latin America, Less emitters, More emitters, Power generation",

author = "Leadina S{\'a}nchez and Carmen V{\'a}squez and Amelec Viloria and {Rodr{\'i}guez Potes}, Lizeth",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018 ; Conference date: 17-06-2018 Through 22-06-2018",

year = "2018",

doi = "10.1007/978-3-319-93803-5_73",

language = "English",

isbn = "9783319938028",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "777--785",

editor = "Yuhui Shi and Qirong Tang and Ying Tan",

booktitle = "Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings",

address = "Germany",

}

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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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.

KW - Greenhouse gases

KW - Latin America

KW - Less emitters

KW - More emitters

KW - Power generation

UR - http://www.scopus.com/inward/record.url?scp=85049011259&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-93803-5_73

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

M3 - Conference contribution

AN - SCOPUS:85049011259

SN - 9783319938028

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 777

EP - 785

BT - Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings

A2 - Shi, Yuhui

A2 - Tang, Qirong

A2 - Tan, Ying

PB - Springer Verlag

T2 - 3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018

Y2 - 17 June 2018 through 22 June 2018

ER -

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. In Shi Y, Tang Q, Tan Y, editors, 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

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this