AAAI Publications, Twenty-Fourth International Joint Conference on Artificial Intelligence

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Copula Graphical Models for Wind Resource Estimation
Kalyan Veeramachaneni, Alfredo Cuesta-Infante, Una-May O'Reilly

Last modified: 2015-06-25

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.

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