{"type":"ScholarlyArticle","title":"Copula Graphical Models for Wind Resource Estimation","authors":[{"name":"Kalyan Veeramachaneni","slug":"kalyan-veeramachaneni","given":"Kalyan","family":"Veeramachaneni","affiliation":""},{"name":"Alfredo Cuesta-Infante","slug":"alfredo-cuesta-infante","given":"Alfredo","family":"Cuesta Infante","affiliation":""},{"name":"Una-May O'Reilly","slug":"una-may-o-apos-reilly","given":"Una-May","family":"O'Reilly","affiliation":""}],"abstract":"We develop multivariate copulas for modeling multiple joint distributions of wind speeds at a wind farm site and neighboring wind source. A ndimensional Gaussian copula and multiple copula graphical models enhance the quality of the prediction site distribution. The models, in comparison to multiple regression, achieve higher accuracy and lower cost because they require less sensing data.","doi":null,"url":"https://ijcai.org/proceedings/2015/375","pdf":"https://ijcai.org/proceedings/2015/0375.pdf","markdown":"https://ijcai.org/proceedings/2015/375.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/375","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Special Track on Computational Sustainability","track":"Special Track on Computational Sustainability","number":375,"pages":{"first":2646,"last":2653},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}