<?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>2664-0880</journal-id>
<journal-title><![CDATA[Revista Cubana de Meteorología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Cubana Met.]]></abbrev-journal-title>
<issn>2664-0880</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Meteorológica de Cuba]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2664-08802023000300004</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Comparison of the wind nowcasting generated by the WRF model and an two LSTM models]]></article-title>
<article-title xml:lang="es"><![CDATA[Comparación del pronóstico de viento generado por el modelo WRF y dos modelos LSTM]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sierra Lorenzo]]></surname>
<given-names><![CDATA[Maibys]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fuentes Barrios]]></surname>
<given-names><![CDATA[Adrián]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Roque Rodríguez]]></surname>
<given-names><![CDATA[Alfredo E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rosquete Estevez]]></surname>
<given-names><![CDATA[Aleida]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Patiño Avila]]></surname>
<given-names><![CDATA[Dayanis M.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto de Meteorología  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2023</year>
</pub-date>
<volume>29</volume>
<numero>3</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2664-08802023000300004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2664-08802023000300004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2664-08802023000300004&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Cuba is immersed in the use of wind energy. However, for its development it has required various efforts in different fields, including the improvement of tools that make the wind predictable and, in turn, wind generation, such is the case of very short-term forecasts. For this reason, this paper compares the wind forecast of the Weather Research and Forecasting model (WRF) at 3 km spatial resolution a Long Short-Term Memory (LSTM) model type. The comparison and evaluation of the forecasts of the models is carried out with data from the Gibara I and II wind farms and the Los Cocos wind survey mast, located in Holguín, Cuba, with wind speed measurements every 10 minutes at a height of 50 m. The LSTM were built by first training the observations and then combining the observations with the WRF model forecast. The results of the comparison were carried out for three study cases and indicate that both LSTM models present better results than the WRF model, although the differences do not exceed 1 m/s. However, for the case studies, the WRF model behaves well reproducing the daytime cycle, but with a MAE greater than 4 m/s.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Cuba se encuentra inmersa en el empleo de la energía eólica. Sin embargo, para su desarrollo ha requerido diversos esfuerzos en diferentes campos, incluyendo el perfeccionamiento de herramientas que hagan predecible el viento y a su vez la generación eólica, tal es el caso de los pronósticos a muy corto plazo. Por tal motivo, en el presente trabajo se compara el pronóstico del viento producido por Weather Research and Forecasting Model (WRF) a 3 km de resolución espacial y un modelo de inteligencia artificial del tipo Long Short Term Memory (LSTM). La comparación y evaluación de los pronósticos de los modelos se realiza con datos de los parques eólicos Gibara I y II y la torre de prospección eólica Los Cocos, ubicadas en la provincia de Holguín, Cuba. Allí se realizan mediciones de la velocidad del viento cada 10 minutos a una altura de 50 m. El LSTM se construyó entrenando primero las observaciones y luego combinándolas con el pronóstico del modelo WRF. Los resultados de la comparación se realizaron para tres casos de estudio e indican que ambos modelos LSTM presentan mejores resultados que el modelo WRF, aunque las diferencias no superan 1 m/s. Sin embargo, para los casos de estudio, el modelo WRF se comporta bien reproduciendo el ciclo diurno, pero con un MAE superior a 4 m/s.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[wind nowcasting]]></kwd>
<kwd lng="en"><![CDATA[renewable energy sources]]></kwd>
<kwd lng="en"><![CDATA[LSTM models]]></kwd>
<kwd lng="en"><![CDATA[WRF model]]></kwd>
<kwd lng="es"><![CDATA[predicción inmediata del viento]]></kwd>
<kwd lng="es"><![CDATA[fuentes de energía renovable]]></kwd>
<kwd lng="es"><![CDATA[modelos LSTM]]></kwd>
<kwd lng="es"><![CDATA[modelo WRF]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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