<?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>1909-8367</journal-id>
<journal-title><![CDATA[Entre Ciencia e Ingeniería]]></journal-title>
<abbrev-journal-title><![CDATA[Entre Ciencia e Ingenieria]]></abbrev-journal-title>
<issn>1909-8367</issn>
<publisher>
<publisher-name><![CDATA[Universidad Católica de Pereira]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1909-83672025000100071</article-id>
<article-id pub-id-type="doi">10.31908/19098367.3106</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Optimización del rendimiento de plantas solares en azotea mediante monitoreo IoT de bajo costo: Un estudio de caso en Montería, Colombia1]]></article-title>
<article-title xml:lang="en"><![CDATA[Optimizing Rooftop Solar Plant Performance through Low-Cost IoT Monitoring: A Case Study in Montería, Colombia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lara]]></surname>
<given-names><![CDATA[F.A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ossa]]></surname>
<given-names><![CDATA[J. de la]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jaramillo]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[C.A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Pontificia Bolivariana  ]]></institution>
<addr-line><![CDATA[Montería ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Pontificia Bolivariana  ]]></institution>
<addr-line><![CDATA[Montería ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Pontificia Bolivariana  ]]></institution>
<addr-line><![CDATA[Montería ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universitat Politècnica de València  ]]></institution>
<addr-line><![CDATA[Valencia ]]></addr-line>
<country>España</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<volume>19</volume>
<numero>37</numero>
<fpage>71</fpage>
<lpage>78</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1909-83672025000100071&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1909-83672025000100071&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1909-83672025000100071&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Respondiendo a la necesidad de soluciones sostenibles, este estudio introduce un sistema de monitoreo IoT de bajo costo para plantas solares en montadas en techo. Usando la Raspberry Pi Pico W y sensores económicos, se logra una monitorización adecuada en tiempo real. La validación, en Montería, Colombia, mostró alta precisión: correlaciones (Temperatura del Panel: 0.99, Radiación Solar: 0.98, Temperatura del Inversor: 0.83, Temperatura Ambiente: 0.96) y bajos REMC (Temperatura del Panel: 1.59°C, Radiación Solar: 86.38 W/m², Inversor: 3.56°C, Ambiente: 1.29°C), comparada con equipos comerciales de medida. Estos resultados subrayan la capacidad del sistema para optimizar el rendimiento de instalaciones solares, favoreciendo una transición energética más sostenible.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Responding to the need for sustainable solutions, this study introduces a low-cost IoT monitoring system for roof-mounted solar power plants. Using the Raspberry Pi Pico W and inexpensive sensors, adequate real-time monitoring is achieved. The validation, in Monteria, Colombia, showed high accuracy: correlations (Panel Temperature: 0.99, Solar Radiation: 0.98, Inverter Temperature: 0.83, Ambient Temperature: 0.96) and low REMC (Panel Temperature: 1.59°C, Solar Radiation: 86.38 W/m², Inverter: 3.56°C, Ambient: 1.29°C), compared to commercial measurement equipment. These results underline the system's ability to optimize the performance of solar installations, favoring a more sustainable energy transition.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Planta solar fotovoltaica]]></kwd>
<kwd lng="es"><![CDATA[Monitorización IoT]]></kwd>
<kwd lng="es"><![CDATA[Raspberry Pi Pico W]]></kwd>
<kwd lng="es"><![CDATA[Sostenibilidad energética]]></kwd>
<kwd lng="es"><![CDATA[Temperatura del inversor]]></kwd>
<kwd lng="en"><![CDATA[Photovoltaic solar plant]]></kwd>
<kwd lng="en"><![CDATA[IoT monitoring]]></kwd>
<kwd lng="en"><![CDATA[Raspberry Pi Pico W]]></kwd>
<kwd lng="en"><![CDATA[Energy sustainability]]></kwd>
<kwd lng="en"><![CDATA[Inverter temperature]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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