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

Resultado de la investigación: Contribución a una conferenciaDocumento

5 Citas (Scopus)

Resumen

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.

Título traducido de la contribuciónElectrical consumption pattern base on meter data management system using big data techniques
Idioma originalEspañol
Páginas334-339
Número de páginas6
DOI
EstadoPublicada - 29 mar. 2018
Evento2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador
Duración: 23 nov. 201725 nov. 2017

Conferencia

Conferencia2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Título abreviadoINCISCOS 2017
País/TerritorioEcuador
CiudadQuito
Período23/11/1725/11/17

Palabras clave

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

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