Advanced

Bayesian Hidden Markov Models for Performance-Based Regulation of Continuity of Electricity Supply

Accoto, Nadia; Rydén, Tobias LU and Secchi, Piercesare (2010) In IEEE Transactions on Power Delivery 25(3). p.1236-1249
Abstract
A fundamental aspect in the regulation of the continuity of electricity supply is the identification of faults that could be caused by an exceptional event and, therefore, that are outside the utility control and responsibility. Different methods have been proposed during the years: the interpretation of the observed faults as a signal of an underlying system naturally leads to the analysis of the problem by means of a hidden Markov model. These models, in fact, are widely used for introducing dependence in data and/or for modeling observed phenomena depending on hidden processes. The application of this method shows that the model is able to identify exceptional events; moreover, the study of the estimated model parameters gives rise to... (More)
A fundamental aspect in the regulation of the continuity of electricity supply is the identification of faults that could be caused by an exceptional event and, therefore, that are outside the utility control and responsibility. Different methods have been proposed during the years: the interpretation of the observed faults as a signal of an underlying system naturally leads to the analysis of the problem by means of a hidden Markov model. These models, in fact, are widely used for introducing dependence in data and/or for modeling observed phenomena depending on hidden processes. The application of this method shows that the model is able to identify exceptional events; moreover, the study of the estimated model parameters gives rise to reality-linked considerations. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
reliability performance regulation, phase-type distribution, Cluster analysis, hidden Markov models
in
IEEE Transactions on Power Delivery
volume
25
issue
3
pages
1236 - 1249
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000278996500003
  • scopus:77954029992
ISSN
1937-4208
DOI
10.1109/TPWRD.2010.2047514
language
English
LU publication?
yes
id
a2f267aa-2eb3-48be-9979-69d0864836a9 (old id 1630185)
date added to LUP
2010-07-23 13:02:44
date last changed
2018-05-29 10:28:19
@article{a2f267aa-2eb3-48be-9979-69d0864836a9,
  abstract     = {A fundamental aspect in the regulation of the continuity of electricity supply is the identification of faults that could be caused by an exceptional event and, therefore, that are outside the utility control and responsibility. Different methods have been proposed during the years: the interpretation of the observed faults as a signal of an underlying system naturally leads to the analysis of the problem by means of a hidden Markov model. These models, in fact, are widely used for introducing dependence in data and/or for modeling observed phenomena depending on hidden processes. The application of this method shows that the model is able to identify exceptional events; moreover, the study of the estimated model parameters gives rise to reality-linked considerations.},
  author       = {Accoto, Nadia and Rydén, Tobias and Secchi, Piercesare},
  issn         = {1937-4208},
  keyword      = {reliability performance regulation,phase-type distribution,Cluster analysis,hidden Markov models},
  language     = {eng},
  number       = {3},
  pages        = {1236--1249},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Power Delivery},
  title        = {Bayesian Hidden Markov Models for Performance-Based Regulation of Continuity of Electricity Supply},
  url          = {http://dx.doi.org/10.1109/TPWRD.2010.2047514},
  volume       = {25},
  year         = {2010},
}