Patrón de Consumo Eléctrico basado en el Sistema de Gestión de Datos Medidos usando Técnicas de Big Data

Translated title of the contribution: Electrical consumption pattern base on meter data management system using big data techniques

Estuardo Correa, Esteban Inga, Juan Inga, Roberto Hincapie

Research output: Contribution to conferencePaper

3 Scopus citations

Abstract

The present work warns of the potential performance of the mapreduce technique for handling big data from the intelligent measurement of electrical energy, this information is managed by the measurement data management system and is used to find the energy consumption pattern of the users. The large amount of information from the intelligent measurement of electrical energy requires a short-term analysis for a subsequent decision-making required to obtain the answer to the demand of the energy in each electric distribution company. In this way, this work presents a technique to handle a large amount of information in a short time to generate trends and statistics of electric energy consumption information from the information coming from several years of information storage.

Translated title of the contributionElectrical consumption pattern base on meter data management system using big data techniques
Original languageSpanish
Pages334-339
Number of pages6
DOIs
StatePublished - 29 Mar 2018
EventProceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador
Duration: 23 Nov 201725 Nov 2017

Conference

ConferenceProceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Abbreviated titleINCISCOS 2017
CountryEcuador
CityQuito
Period23/11/1725/11/17

Keywords

  • big data
  • mapreduce
  • meter data management system (MDMS)
  • smart grid
  • smart metering

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