Data Analytics of Electromagnetics Field Measurements in Smart Meters

被引：0

作者：

Olivares-Rojas, Juan C. ^{[1
]}

Reyes-Archundia, Enrique ^{[1
]}

Gutierrez-Gnecchi, Jose A. ^{[1
]}

Diaz-Huerta, Jorge L. ^{[1
]}

Cerda-Jacobo, Jaime ^{[2
]}

Tellez-Anguiano, Adriana ^{[1
]}

Gonzalez-Murueta, Johan W. ^{[1
]}

机构：

[1] Tecnol Nacl Mexico, Inst Tecnol Morelia, Mexico City, DF, Mexico

[2] Univ Michoacana, Morelia, Michoacan, Mexico

来源：

INTERNATIONAL JOURNAL OF COMBINATORIAL OPTIMIZATION PROBLEMS AND INFORMATICS | 2020年 / 11卷 / 02期

关键词：

Data Analytics; Electromagnetic Fields Measurements; Smart Meter;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The smart meters are considered the main component of the smart grid allowing communication and processing of electrical energy measurement data to utilities. Nowadays, there is a great concern that smart meters' data which is communicated mainly by wireless or wired communication means produce electromagnetic fields which be harmful to human health. In this work, a study of data analytics is presented on the readings produced by the smart meters made with statistical and machine learning probabilistic techniques in order to compare the data with reference values and determine if they are harmful or not for the human health.

引用

页码：39 / 45

页数：7

共 17 条

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