Compounded wind gusts and maximum temperature via semiparametric copula in the risk assessments of power blackouts and air conditioning demands for major cities in Canada

Compounded wind gusts and maximum temperature via semiparametric copula in the risk assessments of power blackouts and air conditioning demands for major cities in Canada

Abstract A semiparametric copula joint framework was proposed to model wind gust speed (WGS) and maximum temperature (MT) in Canada, using Gaussian kernel density estimation (GKDE) with parametric copulas. Their joint probability estimates allow for a better understanding of the risk of power blacko...

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Bibliographic Details
Main Authors: Shahid Latif, Taha B. M. J. Ouarda
Format: Article
Language:English
Published: Nature Portfolio 2024-07-01
Series:Scientific Reports
Subjects:
Wind gust speed
Maximum temperature
Compound events
Semiparametric copula density
Gaussian kernel density estimation
Joint distribution
Online Access:https://doi.org/10.1038/s41598-024-65413-6

Internet

https://doi.org/10.1038/s41598-024-65413-6

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