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IEEE Transactions on Power Systems, ISSN 0885-8950, 01/2017, Volume 32, Issue 1, pp. 694 - 704
This paper introduces the basis-adaptive sparse polynomial chaos (BASPC) expansion to perform the probabilistic power flow (PPF) analysis in power systems. The... 
Chaos | Analytical models | probabilistic power flow | Uncertainty | Input variables | Computational modeling | photovoltaic generator | distribution system | Copula theory | polynomial chaos | Load flow | LOAD FLOW | UNCERTAINTY | CUMULANTS | WIND POWER | SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 11/2012, Volume 27, Issue 4, pp. 2251 - 2261
Journal Article
IEEE Transactions on Smart Grid, ISSN 1949-3053, 03/2012, Volume 3, Issue 1, pp. 492 - 499
Millions of electric vehicles (EVs), especially plug-in hybrid EVs (PHEVs), will be integrated into the power grid in the near future. Due to their large... 
Energy consumption | Communities | plug-in hybrid electric vehicle | Probabilistic logic | Power grids | Batteries | Charging demand model | point estimate method | probabilistic power flow | cumulant method | Queueing analysis | Cornish-Fisher expansion | Load modeling | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 05/2016, Volume 31, Issue 3, pp. 2307 - 2315
This paper proposes a probabilistic power flow analysis technique based on the stochastic response surface method. The probability distributions and statistics... 
Chaos | probabilistic power flow | wind power | Input variables | stochastic response surface method | Stochastic processes | Polynomials | Probability distribution | Random variables | Standards | Photovoltaic generation | Wind power | SYSTEM | WIND SPEEDS | CORRELATED WIND | LOAD FLOW | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Research
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 05/2014, Volume 29, Issue 3, pp. 1045 - 1054
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 07/2019, Volume 34, Issue 4, pp. 3286 - 3288
With the rapid growth of renewables, probabilistic optimal power flow (POPF) has become an important tool to analyze uncertainties in power systems. However,... 
Fast calculation | Power demand | Computational modeling | probabilistic optimal power flow (POPF) | Programming | Topology | Acceleration | multi-parametric programming | Optimization | Standards | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 02/2008, Volume 23, Issue 1, pp. 213 - 218
Journal Article
Renewable Energy, ISSN 0960-1481, 01/2020, Volume 145, pp. 2169 - 2177
In this paper, a polynomial transformation model is proposed to fit the quantile function of wind speed, a Laplace copula is developed to model the dependence... 
Cubature rule | Kronecker product | Probabilistic power flow | Polynomial transformation model | Laplace copula | TRANSFORMATION | GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | ENERGY & FUELS | POINT ESTIMATE METHOD | DEPENDENCE | COPULAS | MODELS | LOAD FLOW | GENERATION | COMPUTATION | Electrical engineering | Case studies
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 09/2018, Volume 33, Issue 5, pp. 5217 - 5225
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 01/2018, Volume 33, Issue 1, pp. 1132 - 1135
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 03/2016, Volume 31, Issue 2, pp. 907 - 919
Journal Article
IEEE Transactions on Power Systems, ISSN 0885-8950, 07/2014, Volume 29, Issue 4, pp. 1847 - 1854
Journal Article
Applied Energy, ISSN 0306-2619, 12/2018, Volume 231, pp. 677 - 685
•It employs kappa distribution to fit distribution to wind speed data.•It develops an easy-to-use algorithm to parameterize the kappa distribution.•It employs... 
Simplex rule | Probabilistic power flow | Archimedean copula | Kappa distribution | ENGINEERING, CHEMICAL | COPULAS | ENERGY & FUELS | LOAD FLOW | GENERATION | MODEL | POINT ESTIMATE METHOD | DEPENDENCE
Journal Article
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