<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0379-3982</journal-id>
<journal-title><![CDATA[Revista Tecnología en Marcha]]></journal-title>
<abbrev-journal-title><![CDATA[Tecnología en Marcha]]></abbrev-journal-title>
<issn>0379-3982</issn>
<publisher>
<publisher-name><![CDATA[Instituto Tecnológico de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0379-39822022000100162</article-id>
<article-id pub-id-type="doi">10.18845/tm.v35i1.5367</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Consumo eléctrico: una propuesta de gestión desarrollada en R a partir de medidores inteligentes en plantas de generación]]></article-title>
<article-title xml:lang="en"><![CDATA[Electricity consumption: a management proposal developed in R based on smart meters for power plants]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barquero-Álvarez]]></surname>
<given-names><![CDATA[David Eladio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rojas-Morales]]></surname>
<given-names><![CDATA[Rodrigo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Tecnológico de Costa Rica  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Costarricense de Electricidad  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<volume>35</volume>
<numero>1</numero>
<fpage>162</fpage>
<lpage>173</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S0379-39822022000100162&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S0379-39822022000100162&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S0379-39822022000100162&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La matriz eléctrica en Costa Rica es considerada renovable, debido al alto porcentaje de participación de fuentes limpias y la casi nula utilización de combustibles fósiles; sin embargo, es posible complementar esa sostenibilidad, mediante una mejora en la gestión del consumo eléctrico en las plantas de generación. Por otra parte, el cambio a medidores inteligentes que registran datos cada 15 minutos es una realidad en el país, lo que implica la oportunidad de proponer nuevas formas de gestión de la información de consumo, que logren utilizar todo su potencial. En relación con lo indicado, este artículo expone el desarrollo de un panel digital interactivo desarrollado en R, desde donde es posible gestionar el consumo eléctrico de dos plantas, una hidroeléctrica y otra térmica, según las necesidades de información requeridas por parte de los usuarios y a partir de la arquitectura de datos existente, incluyendo medidores inteligentes. El panel se ubica en una dirección URL, desde donde los usuarios pueden acceder y navegar para visualizar los análisis definidos, de manera amigable y práctica. La principal contribución de este estudio es ofrecer una alternativa innovadora y creativa sobre el uso de los datos masivos provenientes de los medidores inteligentes, aplicando una herramienta que mejora su gestión e incrementa la conciencia en el uso del recurso. Al ser funcional en dos plantas de tecnologías diferentes, podría considerarse como alternativa para otras instalaciones.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Costa Rican electricity matrix is already considered renewable due to the high running on clean sources and the near-zero use of fossil-fuels; however, it is possible to complement this sustainability by improving the management of electricity consumption in power plants. On the other hand, the change to smart meters recording data every 15 minutes is a fact in the country and it implies an opportunity to propose new ways of managing the energy consumption information to take advantage of its complete potential. In this paper an interactive digital dashboard developed in R is proposed, from where it is possible to manage the electricity consumption for both a hydroelectric and a thermal power plant, according to the previously identified requirements from the users and the existing data architecture, including smart meters. The dashboard is located at a web address, from where users access and navigate to visualize the defined analyses easily and friendly-user. The main contribution in this paper is to provide a creative an ingenious alternative for big data from smart meters through a tool that improves its management and increase the awareness of electricity usage. Since it is working for two different power plants technologies, it could be considered useful for other facilities.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Consumo eléctrico]]></kwd>
<kwd lng="es"><![CDATA[ciencia de datos]]></kwd>
<kwd lng="es"><![CDATA[R]]></kwd>
<kwd lng="es"><![CDATA[generación renovable]]></kwd>
<kwd lng="es"><![CDATA[plantas de generación]]></kwd>
<kwd lng="en"><![CDATA[Electricity consumption]]></kwd>
<kwd lng="en"><![CDATA[data science]]></kwd>
<kwd lng="en"><![CDATA[R]]></kwd>
<kwd lng="en"><![CDATA[renewable generation]]></kwd>
<kwd lng="en"><![CDATA[power plants]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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