Electric consumption pattern from big data

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Date
2020
Author
Viloria, Amelec
Hernandez-P, Hugo
Pineda, Omar
Diago Orozco, Victoria
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URI: https://hdl.handle.net/11323/7730
Citar con DOI: https://doi.org/10.1007/978-981-15-3125-5_47

Enlace externo del documento: https://link.springer.com/chapter/10.1007%2F978-981-15-3125-5_47

Abstract

From the concept of smart grid, reaching an efficient and reliable network is a task that implies several stages and sub-stages with a defined and specific mission. In this way, the intelligent measurement stage conformed by the smart meters obtains the information of electrical consumption from the users or consumers (residential, commercial, and industrial). For this purpose, a smart metering infrastructure made of wireless telecommunications and fiber optic has been generated allows to guarantee the connectivity of the smart meters and the central office of electric companies. This paper aims to describe the use of MapReduce as a technique to obtain information about the load curve at an appropriate time to obtain trends and statistics related to the pattern of residential electricity consumption.
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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International