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Efficient Methods for Modeling Correlations Among Renewable Energy Sources in State-Space Sampling Monte Carlo Simulation.

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Title: Efficient Methods for Modeling Correlations Among Renewable Energy Sources in State-Space Sampling Monte Carlo Simulation.
Authors: Borges, Carmen L. T.1 (AUTHOR) carmen@nacad.ufrj.br, Vaz, Mateus O.1,2 (AUTHOR), Santos, Andressa S.1,3 (AUTHOR), Fontenele, Gonçalo1,4 (AUTHOR), Souza, Roberta C.1,2 (AUTHOR), Carvalho, Claudio E.2,3 (AUTHOR), Russo, Angela3,4 (AUTHOR)
Source: Energies (19961073). Jul2026, Vol. 19 Issue 13, p3163. 33p.
Database: Academic Search Ultimate
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An: 195441369
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  Data: Efficient Methods for Modeling Correlations Among Renewable Energy Sources in State-Space Sampling Monte Carlo Simulation.
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  Data: <searchLink fieldCode="AR" term="%22Borges%2C+Carmen+L%2E+T%2E%22">Borges, Carmen L. T.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> carmen@nacad.ufrj.br</i><br /><searchLink fieldCode="AR" term="%22Vaz%2C+Mateus+O%2E%22">Vaz, Mateus O.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Santos%2C+Andressa+S%2E%22">Santos, Andressa S.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fontenele%2C+Gonçalo%22">Fontenele, Gonçalo</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Souza%2C+Roberta+C%2E%22">Souza, Roberta C.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Carvalho%2C+Claudio+E%2E%22">Carvalho, Claudio E.</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Russo%2C+Angela%22">Russo, Angela</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jul2026, Vol. 19 Issue 13, p3163. 33p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195441369
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        Value: 10.3390/en19133163
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        Text: English
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      – TitleFull: Efficient Methods for Modeling Correlations Among Renewable Energy Sources in State-Space Sampling Monte Carlo Simulation.
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              Text: Jul2026
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              Y: 2026
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