<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel rdf:about="http://hdl.handle.net/2117/5959">
    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/2117/5959</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li rdf:resource="http://hdl.handle.net/2117/3047" />
      </rdf:Seq>
    </items>
    <dc:date>2013-05-24T04:47:37Z</dc:date>
  </channel>
  <item rdf:about="http://hdl.handle.net/2117/3047">
    <title>Improving electricity market price scenarios by means of forecasting factor models</title>
    <link>http://hdl.handle.net/2117/3047</link>
    <description>Title: Improving electricity market price scenarios by means of forecasting factor models
Authors: Muñoz Gracia, María del Pilar; Corchero García, Cristina; Heredia, F.-Javier (Francisco Javier)
Abstract: In liberalized electricity markets, generation Companies must build an hourly bid&#xD;
that is sent to the market operator. The price at which the energy will be paid is unknown during the bidding process and has to be forecast. In this work we apply forecasting factor models to this framework and study its suitability.</description>
    <dc:date>2009-09-01T11:47:42Z</dc:date>
  </item>
</rdf:RDF>

