Electrical consumption patterns through machine learning

amelec, viloria; Senior Naveda, Alexa; Hernández Palma, Hugo; Niebles Núñez, William; Niebles Nuñez, Leonardo David

dc.contributor.author	amelec, viloria	spa
dc.contributor.author	Senior Naveda, Alexa	spa
dc.contributor.author	Hernández Palma, Hugo	spa
dc.contributor.author	Niebles Núñez, William	spa
dc.contributor.author	Niebles Nuñez, Leonardo David	spa
dc.date.accessioned	2020-01-30T13:42:22Z
dc.date.available	2020-01-30T13:42:22Z
dc.date.issued	2020
dc.identifier.issn	1742-6588	spa
dc.identifier.issn	1742-6596	spa
dc.identifier.uri	http://hdl.handle.net/11323/5948	spa
dc.description.abstract	Electricity distribution companies have been incorporating new technologies that allow them to obtain complete information in real time about their customers´ consumption. Thus, a new concept called "Smart Metering" has been adopted, giving way to new types of meters that interact in an interconnected system. This will allow to make data analysis, accurate forecasts and detecting consumption patterns that will be relevant for the decision-making process. This research focuses on discovering common patterns among customers from data collected by smart meters.	spa
dc.language.iso	eng
dc.publisher	Journal of Physics: Conference Series	spa
dc.relation.ispartof	10.1088/1742-6596/1432/1/012093/pdf	spa
dc.rights	CC0 1.0 Universal	spa
dc.rights.uri	http://creativecommons.org/publicdomain/zero/1.0/	spa
dc.subject	Electrical consumption	spa
dc.subject	Machine learning	spa
dc.subject	Smart metering	spa
dc.title	Electrical consumption patterns through machine learning	spa
dc.type	Artículo de revista	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.identifier.instname	Corporación Universidad de la Costa	spa
dc.identifier.reponame	REDICUC - Repositorio CUC	spa
dc.identifier.repourl	https://repositorio.cuc.edu.co/	spa
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dc.type.content	Text	spa
dc.type.driver	info:eu-repo/semantics/article	spa
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dc.type.version	info:eu-repo/semantics/acceptedVersion	spa
dc.type.coarversion	http://purl.org/coar/version/c_ab4af688f83e57aa	spa
dc.rights.coar	http://purl.org/coar/access_right/c_abf2	spa