Bayesian Probabilistic Power Flow Analysis Using Jacobian Approximate Bayesian Computation

Zuluaga, C. and Alvarez Lopez, M.A. (2018) Bayesian Probabilistic Power Flow Analysis Using Jacobian Approximate Bayesian Computation. IEEE Transactions on Power Systems. ISSN 0885-8950

Abstract

Metadata

Authors/Creators:
  • Zuluaga, C.
  • Alvarez Lopez, M.A.
Copyright, Publisher and Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Approximate Bayesian Computation; Bayesian inference; Power system; Probabilistic power flow
Dates:
  • Published: 28 February 2018
  • Accepted: 24 February 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 05 Mar 2018 15:51
Last Modified: 05 Mar 2018 15:53
Published Version: https://doi.org/10.1109/TPWRS.2018.2810641
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/TPWRS.2018.2810641

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