Advanced Probabilistic Power Flow Method Using Vine Copulas for Wind Power Capacity Expansion
Author:
Affiliation:
1. Department of Electronic and Electrical Engineering, Hongik University, Seoul, South Korea
2. Department of Climate and Energy Systems Engineering, College of Engineering, Ewha Womans University, Seoul, South Korea
Funder
National Research Foundation of Korea (NRF) Grant through the Korea Government [Ministry of Science and ICT (MSIT)], South Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09933734.pdf?arnumber=9933734
Reference40 articles.
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4. Families of $m$-variate distributions with given margins and $m(m-1)/2$ bivariate dependence parameters
5. Random variables, joint distribution functions, and copulas;sklar;Kybernetika,1973
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