Forecasted Scenarios of Regional Wind Farms Based on Regular Vine Copulas [PDF]
Journal of Modern Power Systems and Clean Energy, 2020 Owing to the uncertainty and volatility of wind energy, forecasted wind power scenarios with proper spatio-temporal correlations are needed in various decision-making problems involving power systems.
Zhao Wang +3 more
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A New Wind Speed Scenario Generation Method Based on Principal Component and R-Vine Copula Theories [PDF]
Energies, 2022 The intermittent and uncertain properties of wind power have presented enormous obstacles to the planning and steady operation of power systems. In this context, as an effective technique to study wind power uncertainty, the development of an accurate ...
Hui Hwang Goh +6 more
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Probabilistic power forecast of renewable distributed generation for provision of control reserve using vine copulas [PDF]
IET Generation, Transmission & Distribution, 2020 This work focuses on calculating the amount of control reserve, which can be provided by a pool of renewable power plants on the next day. The power forecast of wind and solar power plants depends on the weather forecast, which always contains errors.
Stefan Möws +2 more
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Novel pruning and truncating of the mixture of vine copula clustering models [PDF]
Scientific Reports, 2022 The mixture of the vine copula densities allows selecting the vine structure, the most appropriate type of parametric marginal distributions, and the pair-copulas individually for each cluster. Therefore, complex hidden dependence structures can be fully
Fadhah Amer Alanazi
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Mixed D-vine copula-based conditional quantile model for stochastic monthly streamflow simulation
Water Science and Engineering, 2023 Copula functions have been widely used in stochastic simulation and prediction of streamflow. However, existing models are usually limited to single two-dimensional or three-dimensional copulas with the same bivariate block for all months.
Wen-zhuo Wang +5 more
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PLoS ONE, 2020 An important feature of Bayesian statistics is the opportunity to do sequential inference: the posterior distribution obtained after seeing a dataset can be used as prior for a second inference.
Bram Thijssen, Lodewyk F A Wessels
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Mixed vine copula flows for flexible modeling of neural dependencies [PDF]
Frontiers in Neuroscience, 2022 Recordings of complex neural population responses provide a unique opportunity for advancing our understanding of neural information processing at multiple scales and improving performance of brain computer interfaces.
Lazaros Mitskopoulos +2 more
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A Synthetic European Weather Dataset Based on Spatiotemporal Vine Copulas [PDF]
Scientific DataA stochastic weather generator provides data by capturing statistical properties of observed weather patterns, enabling the simulation of realistic time series beyond the historic record.
Judith N. Claassen +4 more
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A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects [PDF]
, 2020 Diagnostic test accuracy studies observe the result of a gold standard procedure that defines the presence or absence of a disease and the result of a diagnostic test.
Aristidis K Nikoloulopoulos +4 more
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Modeling Asymmetric Dependence Structure of Air Pollution Characteristics: A Vine Copula Approach [PDF]
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
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