Copula Graphical Models for Wind Resource Estimation
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Computational Sustainability. Pages 2646-2653.
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.
Kalyan Veeramachaneni, Alfredo Cuesta Infante, and Una-May O'Reilly. 2015. Copula Graphical Models for Wind Resource Estimation. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 2646–2653. https://ijcai.org/proceedings/2015/375
Veeramachaneni, K., Cuesta Infante, A., & O'Reilly, U. (2015). Copula Graphical Models for Wind Resource Estimation. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 (pp. 2646–2653). IJCAI. https://ijcai.org/proceedings/2015/375
@inproceedings{ijcai2015p375,
title = {Copula Graphical Models for Wind Resource Estimation},
author = {Veeramachaneni, Kalyan and Cuesta Infante, Alfredo and O'Reilly, Una-May},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {2646--2653},
year = {2015},
month = {7},
note = {Special Track on Computational Sustainability},
url = {https://ijcai.org/proceedings/2015/375},
}
TY - CPAPER TI - Copula Graphical Models for Wind Resource Estimation AU - Veeramachaneni, Kalyan AU - Cuesta Infante, Alfredo AU - O'Reilly, Una-May T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 2646 EP - 2653 UR - https://ijcai.org/proceedings/2015/375 ER -Copied
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