%0 Journal Article %1 ceci2019spatial %A Ceci, Michelangelo %A Corizzo, Roberto %A Malerba, Donato %A Rashkovska, Aleksandra %D 2019 %I Springer %J Data Mining and Knowledge Discovery %K autocorrelation forecast spatial %N 3 %P 698--729 %T Spatial autocorrelation and entropy for renewable energy forecasting %V 33

@article{ceci2019spatial, added-at = {2022-05-17T11:26:54.000+0200}, author = {Ceci, Michelangelo and Corizzo, Roberto and Malerba, Donato and Rashkovska, Aleksandra}, biburl = {https://www.bibsonomy.org/bibtex/2c8baf8b5bee140f53af1076be3841867/msteininger}, interhash = {8ff4f90d29fc4b79d4dc4ad051601276}, intrahash = {c8baf8b5bee140f53af1076be3841867}, journal = {Data Mining and Knowledge Discovery}, keywords = {autocorrelation forecast spatial}, number = 3, pages = {698--729}, publisher = {Springer}, timestamp = {2022-05-17T11:26:54.000+0200}, title = {Spatial autocorrelation and entropy for renewable energy forecasting}, volume = 33, year = 2019 }