Probabilistic analysis of solar power supply using D-vine copulas based on meteorological variables

DOI10.1007/978-3-030-62732-4_3zbMath1472.62169OpenAlexW3128585635MaRDI QIDQ1979682

Yanyan Li

Publication date: 3 September 2021

Full work available at URL: https://doi.org/10.1007/978-3-030-62732-4_3

zbMATH Keywords

dependence structureconditional level-crossing probabilityD-vine copulameteorological variablesolar power supply

Mathematics Subject Classification ID

Characterization and structure theory for multivariate probability distributions; copulas (62H05) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (1)

Robust DC optimal power flow with modeling of solar power supply uncertainty via R-vine copulas

Cites Work

• Pair-copula constructions of multiple dependence
• Statistical matching. A frequentist theory, practical applications, and alternative Bayesian approaches
• An introduction to copulas.
• Information criteria and statistical modeling.
• Dependence Modeling with Copulas

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