Solving probabilistic optimal power flow problem using quasi Monte Carlo method and ninth-order polynomial normal transformation B Zou, Q Xiao IEEE Transactions on Power Systems 29 (1), 300-306, 2013 | 128 | 2013 |
Evaluating correlation coefficient for Nataf transformation Q Xiao Probabilistic Engineering Mechanics 37, 1-6, 2014 | 102 | 2014 |
Comparing three methods for solving probabilistic optimal power flow Q Xiao Electric Power Systems Research 124, 92-99, 2015 | 38 | 2015 |
Matching a correlation coefficient by a Gaussian copula Q Xiao, S Zhou Communications in Statistics--Theory and Methods 48 (7), 1728-1747, 2019 | 30 | 2019 |
Probabilistic load flow computation using univariate dimension reduction method B Zou, Q Xiao International Transactions on Electrical Energy Systems 24 (12), 1700-1714, 2014 | 29 | 2014 |
Probabilistic power flow computation considering correlated wind speeds Q Xiao, S Zhou Applied Energy 231, 677-685, 2018 | 28 | 2018 |
Probabilistic Power Flow Computation Using Quadrature Rules Based on Discrete Fourier Transformation Matrix Q Xiao, S Zhou International Journal of Electrical Power & Energy Systems 104, 472-480, 2019 | 24 | 2019 |
Point estimate method based on univariate dimension reduction model for probabilistic power flow computation Q Xiao, Y He, K Chen, Y Yang, Y Lu IET Generation, Transmission & Distribution 11 (14), 3522-3531, 2017 | 24 | 2017 |
Generating correlated random vector involving discrete variables Q Xiao Communication in statistic-Theory and Methods 46 (4), 1594-1605, 2017 | 19 | 2017 |
Dimension reduction method for probabilistic power flow calculation Q Xiao IET Generation, Transmission & Distribution 9 (6), 540-549, 2015 | 18 | 2015 |
Probabilistic power flow analysis with correlated wind speeds S Zhou, Q Xiao, L Wu Renewable Energy 145, 2169-2177, 2020 | 13 | 2020 |
Probabilistic optimal power flow analysis incorporating correlated wind sources Q Xiao, S Zhou, H Xiao International Transactions on Electrical Energy Systems 30 (8), e12441, 2020 | 12 | 2020 |
Comparing unscented transformation and point estimate method for probabilistic power flow computation Q Xiao, S Zhou COMPEL: The International Journal for Computation and Mathematics in …, 2018 | 9 | 2018 |
Probabilistic power flow computation using nested point estimate method Q Xiao, L Wu, C Chen IET Generation, Transmission & Distribution 16 (6), 1064-1082, 2022 | 7 | 2022 |
Investigating Univariate Dimension Reduction Model for Probabilistic Power Flow Computation Q Xiao, S Zhou, L Wu, Y Zhao, Y Zhou Electric Power Components and Systems 47 (6-7), 561-572, 2019 | 6 | 2019 |
基于改进降维法的概率潮流算法 肖青, 周少武 电网技术 42 (5), 1565-1572, 2018 | 6* | 2018 |
Modeling uncertainties in power system by generalized lambda distribution Q Xiao International Journal of Emerging Electric Power Systems 15 (3), 195-203, 2014 | 6 | 2014 |
A new multivariate quadrature rule for calculating statistical moments of stochastic response Q Xiao Journal of Computational and Applied Mathematics 404, 113899, 2022 | 4 | 2022 |
Simulating non-Gaussian stationary stochastic process by translation model Q Xiao, S Zhou IEEE Access 7, 34555-34569, 2019 | 4 | 2019 |
Generating correlated random vector by Johnson system Q Xiao Journal of Data Science 12 (2), 217-234, 2014 | 4 | 2014 |