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

Information and Communication Technologies

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

8 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
Title of host publication	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	334-339
Number of pages	6
ISBN (Electronic)	9781538626443
DOIs	https://doi.org/10.1109/INCISCOS.2017.19
State	Published - 2 Jul 2017
Event	2nd International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador Duration: 23 Nov 2017 → 25 Nov 2017

Publication series

Name	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Volume	2017-November

Conference

Conference	2nd International Conference on Information Systems and Computer Science, INCISCOS 2017
Country/Territory	Ecuador
City	Quito
Period	23/11/17 → 25/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/INCISCOS.2017.19

Cite this

Correa, E., Inga, E., Inga, J., & Hincapie, R. (2017). Patrón de Consumo Eléctrico basado en el Sistema de Gestión de Datos Medidos usando Técnicas de Big Data. In Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 (pp. 334-339). (Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017; Vol. 2017-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INCISCOS.2017.19

Correa, Estuardo ; Inga, Esteban ; Inga, Juan et al. / Patrón de Consumo Eléctrico basado en el Sistema de Gestión de Datos Medidos usando Técnicas de Big Data. Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 334-339 (Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017).

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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",

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

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Information Systems and Computer Science, INCISCOS 2017 ; Conference date: 23-11-2017 Through 25-11-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/INCISCOS.2017.19",

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

series = "Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "334--339",

booktitle = "Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017",

}

Correa, E, Inga, E, Inga, J & Hincapie, R 2017, Patrón de Consumo Eléctrico basado en el Sistema de Gestión de Datos Medidos usando Técnicas de Big Data. in Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017. Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017, vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 334-339, 2nd International Conference on Information Systems and Computer Science, INCISCOS 2017, Quito, Ecuador, 23/11/17. https://doi.org/10.1109/INCISCOS.2017.19

Patrón de Consumo Eléctrico basado en el Sistema de Gestión de Datos Medidos usando Técnicas de Big Data. / Correa, Estuardo; Inga, Esteban; Inga, Juan et al.
Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 334-339 (Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017; Vol. 2017-November).

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

TY - GEN

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 - 2017/7/2

Y1 - 2017/7/2

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

UR - https://www.scopus.com/pages/publications/85050961816

U2 - 10.1109/INCISCOS.2017.19

DO - 10.1109/INCISCOS.2017.19

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85050961816

T3 - Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017

SP - 334

EP - 339

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Information Systems and Computer Science, INCISCOS 2017

Y2 - 23 November 2017 through 25 November 2017

ER -

Correa E, Inga E, Inga J, Hincapie R. Patrón de Consumo Eléctrico basado en el Sistema de Gestión de Datos Medidos usando Técnicas de Big Data. In Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 334-339. (Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017). doi: 10.1109/INCISCOS.2017.19

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

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Cite this