ARTÍCULOS ORIGINALES
ISSN 2389-8186
E-ISSN 2389-8194
Vol.7, No. 2-1
Julio-diciembre de 2020
doi: https://doi.org/10.16967/23898186.669
pp. 44-55
rpe.ceipa.edu.co
* This work is supported by the ITEA3 OPTIMUM project, ITEA3 SECUREGRID project and ITEA3 SCRATCH project, all of them funded by the
Centro Tecnológico de Desarrollo Industrial —CDTI—.
** Master Biomedical Engineering. Nimbeo Estrategia e Innovación S.L., Madrid, España. E-mail: mlagares@nimbeo.com.
ORCID: 0000-0003-1824-3740. Google Scholar: https://scholar.google.com/citations?view_op=list_works&hl=es&user=D6w06ewAAAAJ.
*** PhD in Computer Science. Nimbeo Estrategia e Innovación S.L., Madrid, España. E-mail: yperez@nimbeo.com.
ORCID: 0000-0002-2232-9582. Google Scholar: https://scholar.google.com/citations?user=1bF8dTwAAAAJ&hl=es.
**** PhD in Computer Science. Nimbeo Estrategia e Innovación S.L., Madrid, España. E-mail: alagares@gmail.com.
ORCID: 0000-0001-5310-301X. Google Scholar: https://scholar.google.com/citations?user=swVNmFoAAAAJ&hl=es.
***** PhD in Computer Science. Universidad Carlos III de Madrid, Getafe, España. E-mail: jmgberbi@inf.uc3m.es.
ORCID: 0000-0003-3902-9452. Google Scholar: https://scholar.google.com/citations?user=a2T86e0AAAAJ&hl=es.
ENERMONGRID: Intelligent Energy
Monitoring, Visualization and Fraud
Detection for Smart Grids*
MIGUEL LAGARES-LEMOS**
YULIANA PEREZ-GALLARDO***
ANGEL LAGARES-LEMOS****
JUAN MIGUEL GÓMEZ-BERBÍS*****
ISSN 2389-8186
E-ISSN 2389-8194
Vol.7, No. 2-1
Julio-diciembre de 2020
doi: https://doi.org/10.16967/23898186.669
COMO CITAR ESTE ARTÍCULO
How to cite this article:
Lagares-Lemos, M. et al. (2020).
ENERMONGRID: Intelligent Energy
Monitoring, Visualization and Fraud
Detection for Smart Grids. Revista
Perspectiva Empresarial, 7(2-1),
44-55.
Recibido: 20 de agosto de 2020
Aceptado: 07 de diciembre de 2020
ABSTRACT
The current obsolete electricity network is being transformed into net an
advanced, digitalized and more ecient one known as Smart Grid. The deployment of an
Automatic Metering Infrastructure will make an unseen quantity of rich information available
in near real-time, processed to make decisions for the optimal energy production, generation,
distribution, and consumption. This document presents an analysis of the ENERMONGRID
tool, a tool used for intelligent energy monitoring, data visualization and fraud detection
in electric networks.
KEY WORDS
Energy, monitoring, fraud detection, smart grids, data visualization.
ENERMONGRID: supervisión inteligente de la energía,
visualización y detección de fraudes para las redes
inteligentes
RESUMEN
La actual red eléctrica obsoleta se está transformando en una red avanzada,
digitalizada y más eciente conocida como Smart Grid. El despliegue de una infraestructura de
medición automática permitirá disponer de una cantidad inédita de información abundante
en tiempo casi real; procesada para tomar decisiones para la producción, generación,
distribución y consumo óptimos de energía. Este documento presenta un análisis de la
herramienta ENERMONGRID; una herramienta utilizada para la supervisión inteligente de
la energía, la visualización de datos y la detección del fraude en las redes eléctricas.
PALABRAS CLAVE
energía, supervisión, detección de fraude, redes inteligentes,
visualización de datos.
46
ARTÍCULOS ORIGINALES
MIGUEL LAGARES-LEMOS, YULIANA PEREZ-GALLARDO, ANGEL LAGARES-LEMOS, JUAN MIGUEL GÓMEZ-BERBÍS
Revista Perspectiva Empresarial, Vol. 7, No. 2-1, julio-diciembre de 2020, 44-55
ISSN 2389-8186, E-ISSN 2389-8194
ENERMONGRID: supervisão inteligente da energia,
visualização e detecção de fraudes para as redes
inteligentes
RESUMO
A atual rede elétrica obsoleta está se transformando numa rede avançada,
digitalizada e mais eciente conhecida como Smart Grid. A implantação de uma
infraestrutura de medição automática permitirá dispor de uma quantidade inédita
de informação abundante em tempo quase real; processada para tomar decisões
para a produção, geração, distribuição e consumo ótimos de energia. Este documento
apresenta uma análise da ferramenta ENERMONGRID; uma ferramenta utilizada para
a supervisão inteligente da energia, a visualização de dados e a detecção de fraude
nas redes elétricas.
PALAVRAS CHAVE
energia, supervisão, detecção de fraude, redes inteligentes,
visualização de dados.
47
ARTÍCULOS
MIGUEL LAGARES-LEMOS, YULIANA PEREZ-GALLARDO, ANGEL LAGARES-LEMOS, JUAN MIGUEL GÓMEZ-BERBÍS
Revista Perspectiva Empresarial, Vol. 7, No. 2-1, julio-diciembre de 2020, 44-55
ISSN 2389-8186, E-ISSN 2389-8194
Introduction
The electrical grids of today managed by
utility companies are complex systems with many
different aspects that require expertise to operate
successfully, such as grid management, data
visualization, load prediction, loss prediction, and
fraud prevention. The complexity of this domain is
not only architectural, due to many different devices
communicating and interoperating amongst the
network, but there also exists a logical complexity,
given the fact that incredible amounts of data must
be properly managed in order to optimize the


that can arise when dealing with energy load
estimates, loss estimates, as well as fraud
detection and prevention, the ENERMONGRID
tool was developed to aid those entities in charge
of managing an electric network, with the focus of
doing so in Smart Grids.
This paper is made up of the following parts: (i)
the introduction; (ii) a review of related works; (iii)
the ENERMONGRID system is analyzed, detailing

elements, the restrictions and considerations that
were taking into account when developing and
testing the system, the anomalies that were found
in the electric grid once the system was put into



the conclusions.
Related Work
According to studies by the Galvin electricity
initiative, in the United States the technologies Smart
Grid will lower the costs of power supply and reduce
the need for massive infrastructure investment in
at least the next twenty years with a larger capacity
electric grid. In the environmental aspect there
is a great interest of the countries in developing
policies and regulations that encourage the creation
of social awareness with respect to consequences
of greenhouse gases. The problem lies in the fuel
used by traditional power generation plants and
is produced during demand peaks that force the
activation of special plants to be able to supply those
additional energy requirements (García, Beltrán y
Núñez, 2010). These plants are used only during
these periods, with the resulting cost overruns
—which have a direct impact on bills—. A very

country, 40 % of carbon dioxide emissions come
from electricity generation; while that only 20
% are caused by transport. This presents a huge
challenge for the electricity industry in terms of
climate change global.
There are currently many parallel activities
related to standardization of Smart Grid networks.
Since these activities are relevant to the same topic, it
is some overlap and duplication of them is inevitable
(Cleveland, 2008). There are several development
agencies and standardization, among them:
(i) IEC Smart Grid Strategy Group: The
International Electrotechnical Commission —
IEC— is the natural focal point for the electrical
industry. It aims to provide a unique reference
source for the many projects of Smart Grids that
are being implemented around the world. It has
developed a framework for standardization that
includes protocols and reference standards for
achieve interoperability of Smart Grid systems and
devices (Díaz y Hernández, 2011).
(ii) National Institute of Standards and
Technology —NIST—: It is not a body of
standardization but has been designated by the
government of the United States to manage the
project of selecting a set of standards for the Smart
Grid network in that country.
(iii) EU Commission Task Force for Smart Grids:
Its mission is to assist the Commission and guidelines

steps towards the implementation of Smart Grid in
the provision of the third energy package (Gordon
and de Bucs, 2000).
(iv) IEEE P2030: It is an IEEE working group for
the development of a guide for the interoperability
of Smart Grid in the operation of energy technologies
and information technology with the electrical
power system —EPS— and the loads and end-user
48
ARTÍCULOS ORIGINALES
MIGUEL LAGARES-LEMOS, YULIANA PEREZ-GALLARDO, ANGEL LAGARES-LEMOS, JUAN MIGUEL GÓMEZ-BERBÍS
Revista Perspectiva Empresarial, Vol. 7, No. 2-1, julio-diciembre de 2020, 44-55
ISSN 2389-8186, E-ISSN 2389-8194
applications. Many demonstration projects are
currently underway, and some results are available.

Smart Grid are present in the United States, Europe,
Japan and China.
ENERMONGRID
The ENERMONGRID tool is a tool used for
intelligent energy monitoring, data visualization
and fraud detection in electric networks. It is
responsible for collecting data from the meters
and transformation centers of the measurement
system deployed in the metering infrastructure,
also known as AMI, which stands for Advanced
Metering Infrastructure (van der Meijden,
Veringa and Rabou, 2010). This information is
processed through the MDM module (Meter Data
Management) that collects, consolidates, and
manages this information.
The MDM module, among other tasks, also
provides security through the anonymization
of data, as well as advanced security measures;
offers information to external systems through
the communications module, through WEB REST
services; manages the topological, cartographic and
electrical information of the network; preprocesses

The ENERMONGRID tool, via the use of
algorithms developed by the different project
members, calculates estimates, energy losses in the
network, predictions, as well as energy balances.
These results are treated as new reports, which
have been designed for the project following the
STG standard.
Architecture
The system architecture can be described with

Figure 1. System Architecture. Source: author own elaboration.
The information flow of the architecture is
given by three main elements: the meters, the
transformation centers, and the BackOffice. The
role of each one of these elements will be briefly
described.
Meters
A meter is the device typically used to gather
information regarding the energy consumption
inside of a household or other location that
consumes electrical energy. Most meters are
analogical, but companies and technological
drive have made it possible for these meters to be
electrical devices in and of themselves, coining the
term “Smart Meter.” Smart Meters are especially
important in the context and domain of Smart Grids
and Smart Cities.
The role of the meter is to accrue the

of time. Smart Meters can perform this data
gathering duty over non-traditional methods such
as OTA (over the air) by establishing a wireless