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

Estuardo Correa, Esteban Inga, Juan Inga, Roberto Hincapie

Grupo de Investigación y Desarrollo de Aplicaciones en Tecnologías de la Información y la Comunicación - GIDATIC

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

7 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 contribución	Electrical consumption pattern base on meter data management system using big data techniques
Idioma original	Español
Título de la publicación alojada	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	334-339
Número de páginas	6
ISBN (versión digital)	9781538626443
DOI	https://doi.org/10.1109/INCISCOS.2017.19
Estado	Publicada - 2 jul. 2017
Evento	2nd International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador Duración: 23 nov. 2017 → 25 nov. 2017

Serie de la publicación

Nombre	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Volumen	2017-November

Conferencia

Conferencia	2nd International Conference on Information Systems and Computer Science, INCISCOS 2017
País/Territorio	Ecuador
Ciudad	Quito
Período	23/11/17 → 25/11/17

Nota bibliográfica

Publisher Copyright:
© 2017 IEEE.

Palabras clave

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

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/INCISCOS.2017.19

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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. En 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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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",

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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. En 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

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AU - Inga, Esteban

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AU - Hincapie, Roberto

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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.

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KW - meter data management system (MDMS)

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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. En 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

Resumen

Serie de la publicación

Conferencia

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Palabras clave

ODS de las Naciones Unidas

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