Due to the effects of greenhouse gases, countries have implemented policies to slow down their emissions. Latin America stands out as one of the regions that have seen these effects accentuated, among them, the vulnerability of its electrical systems to periods of drought. The objective of this paper is to classify the group of these countries that contribute more or less to the emissions of these gases, in relation to their generation of electric power. The data used to carry out this classification are those reported by databases such as: Latin American Energy Organization (OLADE, by its initials in Spanish) and the World Bank, for the period from 2006 to 2013. The big data are analyzed using data mining techniques: Grouping and Association. The results show that they were organized in three (3) clusters. In the efficient one is Brazil, with an average of 289.66 tons/GWh emissions. In the clusters, considered inefficient, they have an average emissions of 462.15 and 1137.10 ton/GWh.
|Title of host publication||Data Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings|
|Editors||Yuhui Shi, Qirong Tang, Ying Tan|
|Number of pages||8|
|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
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|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|
|Period||17/06/18 → 22/06/18|
Bibliographical notePublisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
- Greenhouse gases
- Latin American countries
- OLADE database
- Power generation