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 |
| Páginas | 334-339 |
| Número de páginas | 6 |
| DOI | |
| Estado | Publicada - 29 mar. 2018 |
| Evento | 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador Duración: 23 nov. 2017 → 25 nov. 2017 |
Conferencia
| Conferencia | 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 |
|---|---|
| Título abreviado | INCISCOS 2017 |
| País/Territorio | Ecuador |
| Ciudad | Quito |
| Período | 23/11/17 → 25/11/17 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
-
ODS 7: Energía asequible y no contaminante
Palabras clave
- big data
- mapreduce
- meter data management system (MDMS)
- smart grid
- smart metering
Proyectos
- 1 Terminado
-
Modelación de la Curva de Carga por la Inclusión de Vehículos Eléctricos en Redes de Distribución Basado en la Óptima Respuesta de la Demanda
Garcia Torres, E. M. (Investigador principal), Valenzuela Santillán, A. D. (Investigador Secundario), Benalcazar Lopez, B. D. (Estudiante Investigador), Vergara Naranjo, V. R. (Estudiante Investigador), Velasco Guanoluisa, J. D. (Estudiante Investigador) & Jarrin Vinueza, D. S. (Estudiante Investigador)
2/01/17 → 31/12/17
Proyecto: Investigación y Desarrollo
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