Results 61 to 70 of about 276 (185)
Modeling Asymmetric Dependence Structure of Air Pollution Characteristics: A Vine Copula Approach
MathematicsContaminated air is unhealthy for people to breathe and live in. To maintain the sustainability of clean air, air pollution must be analyzed and controlled, especially after unhealthy events.
Mohd Sabri Ismail +3 more
doaj +1 more source
Tail dependence functions and vine copulas
Journal of Multivariate Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Joe, Harry +2 more
openaire +2 more sources
Operational Convection‐Permitting COSMO/ICON Ensemble Predictions at Observation Sites (CIENS)
Geoscience Data Journal, Volume 13, Issue 1, January 2026.Map of synoptic stations in Germany for which ensemble forecasts and observations are provided in the CIENS dataset. Colours represent the station altitude in metres. ABSTRACT We present the CIENS dataset, which contains ensemble weather forecasts from the operational convection‐permitting numerical weather prediction model of the German Weather ...
Sebastian Lerch +6 more
wiley +1 more source
Water Resources Research, Volume 62, Issue 1, January 2026.Abstract Drought significantly affects water resources, agriculture, energy, and ecosystems, revealing enduring socio‐economic vulnerabilities over the centuries. This review synthesizes a century of development and recent advances in drought research (1900–2023), drawing on a bibliometric analysis of over 152,000 peer‐reviewed publications. The review
Amitesh Sabut, Ashok Mishra
wiley +1 more source
Nonparametric estimation of simplified vine copula models: comparison of methods
Dependence Modeling, 2017 In the last decade, simplified vine copula models have been an active area of research. They build a high dimensional probability density from the product of marginals densities and bivariate copula densities.
Nagler Thomas +2 more
doaj +1 more source
IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.This study develops a spatiotemporal source‐load scenario generation framework using Copula‐Markov chains, R‐Vine Copulas and user behaviour models. A novel flexibility assessment framework quantifies supply‐demand imbalances, showing flexibility resources like demand response and VSC capacity shape system flexibility. ABSTRACT Global energy transition
Kang Yue +5 more
wiley +1 more source
Scenario Generation Approach of Regional Wind Power Driven by Meteorological Data
IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.This paper proposes a meteorological data‐driven approach for generating regional wind power scenarios that adapt to future capacity expansion. By selecting WPAPs, classifying wind speed patterns, and designing a DCNN, the method produces credible and heterogeneous time‐series scenarios.
Qian Kai +3 more
wiley +1 more source
Univariate conditioning of vine copulas
Journal of Multivariate Analysis, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.This paper proposes a scenario generation method for wind/photovoltaic power outputs and load sequences, which is able to preserve the characteristics of extreme scenarios. The method extracts extreme scenarios via an iterative procedure and generates conventional scenarios using a double‐layer Markov chain Monte Carlo model.
Xiong Wu +4 more
wiley +1 more source
Multivariate modeling of flood characteristics using Vine copulas
Environmental Earth Sciences, 2020 Vine copulas provide a great deal of flexibility in modeling complex dependence structures between the variables. In spite of its importance, very limited attention has been paid in hydrology field. In the present study, multivariate modelling of flood characteristics was performed using traditional Archimedean and Elliptical and Vine copulas.
Fatih Tosunoglu +2 more
openaire +3 more sources