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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ASR</journal-id>
<journal-title-group>
<journal-title>Advances in Science and Research</journal-title>
<abbrev-journal-title abbrev-type="publisher">ASR</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Adv. Sci. Res.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1992-0636</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/asr-8-143-2012</article-id>
<title-group>
<article-title>The influence of the new ECMWF Ensemble Prediction System resolution on wind power forecast accuracy and uncertainty estimation</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alessandrini</surname>
<given-names>S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sperati</surname>
<given-names>S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pinson</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>RSE, Ricerca Sistema Energetico, Milano, Italy</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Technical University of Denmark (DTU), DTU Informatics, Lyngby, Denmark</addr-line>
</aff>
<pub-date pub-type="epub">
<day>27</day>
<month>07</month>
<year>2012</year>
</pub-date>
<volume>8</volume>
<issue>1</issue>
<fpage>143</fpage>
<lpage>147</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2012 S. Alessandrini et al.</copyright-statement>
<copyright-year>2012</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://asr.copernicus.org/articles/8/143/2012/asr-8-143-2012.html">This article is available from https://asr.copernicus.org/articles/8/143/2012/asr-8-143-2012.html</self-uri>
<self-uri xlink:href="https://asr.copernicus.org/articles/8/143/2012/asr-8-143-2012.pdf">The full text article is available as a PDF file from https://asr.copernicus.org/articles/8/143/2012/asr-8-143-2012.pdf</self-uri>
<abstract>
<p>The importance of wind power forecasting (WPF) is nowadays commonly
recognized because it represents a useful tool to reduce problems of grid
integration and to facilitate energy trading. If on one side the prediction
accuracy is fundamental to these scopes, on the other it has become also
clear that a reliable estimation about their uncertainty is paramount. In
fact prediction accuracy is unfortunately not constant and can depend on the
location of a particular wind farm, on the forecast time and on the
atmospheric situation. Previous studies indicated that the spread of power
forecasts derived from the Ensemble Prediction System (EPS) in use at the
European Centre for Medium-Range Weather Forecast (ECMWF) could be used as
indicator of a three-hourly, three days ahead, wind power forecast&apos;s
accuracy. In this paper a new application of the EPS, whose horizontal
resolution was increased on January 2010 from T399/T255 (60 km) to T639/T319
(32 km), shows an improvement in the results implying that the power spread
has actually enough correlation with the error calculated on the
deterministic forecast in order to be used as an accuracy predictor. The
periods for this comparison are from January 2008 until October 2008
(T399/T255) and from January 2011 until October 2011 (T639/T319). Moreover
we have focused our attention on the influence of the new EPS configuration
on the performance of a deterministic WPF conducted with the ensemble mean:
the results show that increasing the EPS resolution yields a single-valued
WPF whose performance is comparable with that of the new ECMWF deterministic
high-resolution meteorological model, whose spatial resolution increased
from T799 (25 km) to T1279 (15 km).</p>
</abstract>
<counts><page-count count="5"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
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</ref>
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<label>4</label><mixed-citation publication-type="other" xlink:type="simple">ECMWF internal report: Horizontal resolution increase (&lt;a href=&quot;www.ecmwf.int&quot;&gt;www.ecmwf.int&lt;/a&gt;), 2010.</mixed-citation>
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<label>9</label><mixed-citation publication-type="other" xlink:type="simple">Pinson, P., Nielsen, H. A., Madsen, H., and Kariniotakis, G.: Skill forecasting from ensemble predictions of wind power, Appl. Energ., 86, 1326–1334, 2009.</mixed-citation>
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</back>
</article>