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Probabilistic Load Flow Analysis Using Randomized Quasi–Monte Carlo Sampling and Johnson Transformation

Author(s): (Associate Professor, School of Electrical Engineering, Southeast Univ., Nanjing 210018, China.)
ORCID (Ph.D. Candidate, School of Electrical Engineering, Southeast Univ., Nanjing 210018, China (corresponding author))
(Ph.D. Candidate, Dept. of Electrical Engineering and Computer Science, Univ. of Tennessee, Knoxville, TN 37996.)
(Senior Engineer, State Grid Nanjing Power Supply Company, 1 Aoti Ave., Jianye District, Nanjing 210019, China.)
Medium: journal article
Language(s): English
Published in: Journal of Energy Engineering, , n. 6, v. 143
Page(s): 04017066
DOI: 10.1061/(asce)ey.1943-7897.0000497
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)ey.1943-7897.0000497.
  • About this
    data sheet
  • Reference-ID
    10588577
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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