Multivariate copula procedure for electric vehicle charging event simulation
نویسندگان
چکیده
This paper introduces a novel application area for multivariate copulas in electric vehicle charging event simulation and dependency analysis. We propose copula procedure that can be used to generate new synthetic events, which retain the complex correlation structures present real-world events. The compares most popular functions discover reliable one with data. Accurate EV analysis is crucial multiple theoretical practical applications such as load demand response aggregation modelling. Based on goodness-of-fit tests profiles of simulated Student-t was found Overall, effective events it retains inherent variability dependencies real
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ژورنال
عنوان ژورنال: Energy
سال: 2022
ISSN: ['1873-6785', '0360-5442']
DOI: https://doi.org/10.1016/j.energy.2021.121718