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Enfoque UTE
versión On-line ISSN 1390-6542versión impresa ISSN 1390-9363
Resumen
INGA, Esteban; INGA, Juan; CORREA, Estuardo y HINCAPIE, Roberto. Reconstruction of the Electric Consumption Pattern from Big Data using MapReduce Technique. Enfoque UTE [online]. 2018, vol.9, n.1, pp.177-187. ISSN 1390-6542. https://doi.org/10.29019/enfoqueute.v9n1.220.
The work presents the performance of the MapReduce technique to reconstruct the load curve from a previously stored amount of information coming from smart metering of electrical energy and currently considered as Big Data. The management of information in the stage of an intelligent electrical network considered as a System of Management of Measured Data or MDMS needs reducing the times with respect to the reports that are required in a certain moment for decision making in relation to the electrical demand response. Therefore, this paper proposes the use of MapReduce as a technique to obtain information of the load curve in a suitable time to obtain trends and statistics related to the residential electric pattern.
Palabras clave : big data; mapreduce; meter data management system; smart grid; smart metering..