Bayesian Hidden Markov Models for Performance-Based Regulation of Continuity of Electricity Supply
(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:
https://lup.lub.lu.se/record/1630185
- author
- Accoto, Nadia ; Rydén, Tobias LU and Secchi, Piercesare
- organization
- publishing date
- 2010
- 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
- 2016-04-01 10:43:21
- date last changed
- 2022-01-26 01:52:49
@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}},
keywords = {{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}},
doi = {{10.1109/TPWRD.2010.2047514}},
volume = {{25}},
year = {{2010}},
}