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<identifier>oai:HAL:hal-01319666v1</identifier>
<datestamp>2016-05-23</datestamp>
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<title lang=en>Statistical parameters as a means to a priori assess the accuracy of solar forecasting models</title>
<creator>Voyant, Cyril</creator>
<creator>Soubdhan, Ted</creator>
<creator>Lauret, Philippe</creator>
<creator>David, Mathieu</creator>
<creator>Muselli, Marc</creator>
<contributor>Sciences pour l'environnement (SPE) ; Université Pascal Paoli - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Laboratoire de Recherche en Géosciences et Énergies (LaRGE) ; Université des Antilles et de la Guyane (UAG)</contributor>
<contributor>Physique et Ingénierie Mathématique pour l'Énergie, l'environnemeNt et le bâtimenT (PIMENT) ; Université de la Réunion</contributor>
<description>International audience</description>
<source>Atomic Energy Review</source>
<identifier>hal-01319666</identifier>
<identifier>http://hal.univ-reunion.fr/hal-01319666</identifier>
<source>http://hal.univ-reunion.fr/hal-01319666</source>
<source>Atomic Energy Review, 2015, 90, <10.1016/j.energy.2015.07.089></source>
<identifier>DOI : 10.1016/j.energy.2015.07.089</identifier>
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<subject>[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing</subject>
<subject>[SPI.NRJ] Engineering Sciences [physics]/Electric power</subject>
<subject>[SPI.MECA.THER] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]</subject>
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<date>2015-10</date>
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