Cite
Deep neural networks for the quantile estimation of regional renewable energy production
MLA
Antonio Alcántara, et al. “Deep Neural Networks for the Quantile Estimation of Regional Renewable Energy Production.” Applied Intelligence, vol. 53, Aug. 2022, pp. 8318–53. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....ed90fe48ac53a452dc8bc6b3331490f7&authtype=sso&custid=ns315887.
APA
Antonio Alcántara, Inés M. Galván, & Ricardo Aler. (2022). Deep neural networks for the quantile estimation of regional renewable energy production. Applied Intelligence, 53, 8318–8353.
Chicago
Antonio Alcántara, Inés M. Galván, and Ricardo Aler. 2022. “Deep Neural Networks for the Quantile Estimation of Regional Renewable Energy Production.” Applied Intelligence 53 (August): 8318–53. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....ed90fe48ac53a452dc8bc6b3331490f7&authtype=sso&custid=ns315887.