%0 Journal Article %1 journals/apin/AlcantaraGA23 %A Alcántara, Antonio %A Galván, Inés María %A Aler, Ricardo %D 2023 %J Appl. Intell. %K dblp %N 7 %P 8318-8353 %T Deep neural networks for the quantile estimation of regional renewable energy production. %U http://dblp.uni-trier.de/db/journals/apin/apin53.html#AlcantaraGA23 %V 53

@article{journals/apin/AlcantaraGA23, added-at = {2023-05-13T00:00:00.000+0200}, author = {Alcántara, Antonio and Galván, Inés María and Aler, Ricardo}, biburl = {https://www.bibsonomy.org/bibtex/213304e0692c8ac937d964493657f362e/dblp}, ee = {https://doi.org/10.1007/s10489-022-03958-7}, interhash = {c46acb5e6921e162ec113874e2f4c703}, intrahash = {13304e0692c8ac937d964493657f362e}, journal = {Appl. Intell.}, keywords = {dblp}, month = {April}, number = 7, pages = {8318-8353}, timestamp = {2024-04-09T02:37:40.000+0200}, title = {Deep neural networks for the quantile estimation of regional renewable energy production.}, url = {http://dblp.uni-trier.de/db/journals/apin/apin53.html#AlcantaraGA23}, volume = 53, year = 2023 }