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

Estuardo Correa; Esteban Inga; Juan Inga; Roberto Hincapie

doi:10.1109/INCISCOS.2017.19

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 conference › Paper

6 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 contribution	Electrical consumption pattern base on meter data management system using big data techniques
Original language	Spanish
Pages	334-339
Number of pages	6
DOIs	https://doi.org/10.1109/INCISCOS.2017.19
State	Published - 29 Mar 2018
Event	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador Duration: 23 Nov 2017 → 25 Nov 2017

Conference

Conference	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Abbreviated title	INCISCOS 2017
Country/Territory	Ecuador
City	Quito
Period	23/11/17 → 25/11/17

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/INCISCOS.2017.19

Cite this

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title = "Patr{\'o}n de Consumo El{\'e}ctrico basado en el Sistema de Gesti{\'o}n de Datos Medidos usando T{\'e}cnicas de Big Data",

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.",

keywords = "big data, mapreduce, meter data management system (MDMS), smart grid, smart metering, big data, mapreduce, meter data management system (MDMS), smart grid, smart metering",

author = "Estuardo Correa and Esteban Inga and Juan Inga and Roberto Hincapie",

year = "2018",

month = mar,

day = "29",

doi = "10.1109/INCISCOS.2017.19",

language = "Espa{\~n}ol",

pages = "334--339",

note = "2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 ; Conference date: 23-11-2017 Through 25-11-2017",

}

Correa, E , Inga, E , Inga, J & Hincapie, R 2018, 'Patrón de Consumo Eléctrico basado en el Sistema de Gestión de Datos Medidos usando Técnicas de Big Data', Paper presented at Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017, Quito, Ecuador, 23/11/17 - 25/11/17 pp. 334-339. https://doi.org/10.1109/INCISCOS.2017.19

TY - CONF

T1 - Patrón de Consumo Eléctrico basado en el Sistema de Gestión de Datos Medidos usando Técnicas de Big Data

AU - Correa, Estuardo

AU - Inga, Esteban

AU - Inga, Juan

AU - Hincapie, Roberto

PY - 2018/3/29

Y1 - 2018/3/29

N2 - 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.

AB - 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.

KW - big data

KW - mapreduce

KW - meter data management system (MDMS)

KW - smart grid

KW - smart metering

KW - big data

KW - mapreduce

KW - meter data management system (MDMS)

KW - smart grid

KW - smart metering

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UR - http://www.mendeley.com/research/electrical-consumption-pattern-base-meter-data-management-system-using-big-data-techniques

U2 - 10.1109/INCISCOS.2017.19

DO - 10.1109/INCISCOS.2017.19

M3 - Documento

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EP - 339

T2 - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017

Y2 - 23 November 2017 through 25 November 2017

ER -

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

Abstract

Conference

Keywords

UN SDGs

Access to Document

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