Bayesian Probabilistic Power Flow Analysis Using Jacobian Approximate Bayesian Computation
被引:0
作者:
Zuluaga, Carlos David
论文数: 0引用数: 0
h-index: 0
机构:
Department of Electrical Engineering, Faculty of Engineering, Universidad Tecnológica de Pereira, Pereira,660003, ColombiaDepartment of Electrical Engineering, Faculty of Engineering, Universidad Tecnológica de Pereira, Pereira,660003, Colombia
Zuluaga, Carlos David
[1
]
Alvarez, Mauricio A.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Computer Science, Faculty of Engineering, University of Sheffield, Sheffield,S1 4DP, United KingdomDepartment of Electrical Engineering, Faculty of Engineering, Universidad Tecnológica de Pereira, Pereira,660003, Colombia
Alvarez, Mauricio A.
[2
]
机构:
[1] Department of Electrical Engineering, Faculty of Engineering, Universidad Tecnológica de Pereira, Pereira,660003, Colombia
[2] Department of Computer Science, Faculty of Engineering, University of Sheffield, Sheffield,S1 4DP, United Kingdom
来源:
IEEE Transactions on Power Systems
|
2018年
/
33卷
/
05期
关键词:
Compilation and indexing terms;
Copyright 2024 Elsevier Inc;
D O I:
8304650
中图分类号:
学科分类号:
摘要:
Approximate Bayesian - Bayesian inference - Optimization problems - Posterior distributions - Power flow equations - power system - Probabilistic inference - Probabilistic power flow