<?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>S2664-08802019000200004</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Pronóstico energético a muy corto plazo para el Parque Eólico Gibara I utilizando un modelo autorregresivo]]></article-title>
<article-title xml:lang="en"><![CDATA[Very-short term wind power forecast for Gibara I Wind Farm using an autorregressive model]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez-Pérez]]></surname>
<given-names><![CDATA[Beatriz]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Roque-Rodríguez]]></surname>
<given-names><![CDATA[Alfredo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro Meteorológico Provincial de Camagüey  ]]></institution>
<addr-line><![CDATA[ Camagüey]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto de Meteorología Centro de Física de la Atmósfera ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>25</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2664-08802019000200004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2664-08802019000200004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2664-08802019000200004&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Cuba está avanzando en la explotación de la energía eólica. Actualmente no se cuenta en el país con pronósticos energéticos a muy corto plazo para parques eólicos. Este trabajo pretende lograr mediante métodos estadísticos esos pronósticos para el Parque Eólico Gibara I, a partir de: obtener un Modelo Autorregresivo de Medias Móviles para pronosticar la rapidez del viento a muy corto plazo, en el nivel de 50 m de altura; evaluar la calidad de los pronósticos mediante el cálculo de diversos estadísticos y combinar el pronóstico de rapidez del viento con la curva de potencia del parque para obtener el pronóstico energético. Se utilizó la serie de tiempo de la rapidez del viento en el nivel 50 m de altura de la torre de prospección eólica Los Cocos, localizada en Gibara, Holguín. El modelo fue seleccionado a partir del uso del criterio de Akaike y se obtuvo que el modelo propuesto pronosticó bastante bien la rapidez del viento, con un error de pronóstico comparable a otros resultados obtenidos para este parque, existiendo una buena correlación entre el pronóstico y los datos reales. Finalmente se logró el pronóstico energético a muy corto plazo para el Parque Eólico. Estos resultados contribuyen a una mejor planificación de las operaciones en tiempo casi real en el parque eólico, buscando disminuir las pérdidas energéticas provocadas por la salida del Sistema Electroenergético Nacional de un parque eólico tan importante para el país como es Gibara I.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Cuba is advancing in the exploitation of wind energy. At present, it doesn´t exists very-short term wind power forecast for wind farms at the country. This paper intends to achieve, using statistics methods, a very short-therm forecast of wind power that will generate Gibara I Wind Power Farm. For that it will be obtained an autoregressive moving average model to forecast wind speed in a very - short term at 50 m level; to evaluating model forecast´quality by calculating various statisticians and finally to combining the wind speed forecast with Gibara I Wind Farm´power curve to obtain the wind power forecast. Wind speed time series at 50 m level, coming from Los Cocos wind power prospection tower, located in Gibara, Holguin, was used. The model was selected by the use of Akaike´s criteria. It forecasted so well wind speed, with an error which is comparable with another results for this wind farm. The correlation between real data and the forecast was good. Finally, the wind power forecasted was obtained. This results contribute to a better planning of very short-term operations inside the wind farm, whit the aim of the decrease of power losses if Gibara I Wind Farm way out of National Energetic System.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[potencia eólica]]></kwd>
<kwd lng="es"><![CDATA[pronóstico]]></kwd>
<kwd lng="es"><![CDATA[ARMA]]></kwd>
<kwd lng="es"><![CDATA[Gibara]]></kwd>
<kwd lng="en"><![CDATA[Wind power]]></kwd>
<kwd lng="en"><![CDATA[forecast]]></kwd>
<kwd lng="en"><![CDATA[ARMA]]></kwd>
<kwd lng="en"><![CDATA[Gibara]]></kwd>
</kwd-group>
</article-meta>
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