Abstract
We present the use of Bayesian Belief Networks (BBN) for risk management in power industry, especially risk assessment and risk mapping. We present a specific definition of risk, then, an application to the risk management of a gas and electricity distribution center. A risk map is elaborated, based on the risk analysis and the Bayesian network. We conclude the poster with the advantages and limitations of this approach.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ortwin Renn, Andreas Klinke, Prometheus Unbound, Challenges of Risk Evaluation, Risk Classification and Risk Management. Report 153, November 1999. Akademie für Technikfolgenabschätzung in Baden-Würtemberg.
Australia/New Zealand Standard AS/NZS 4360: 1999
ISO/CEI 73 Risk Management Vocabulary Guidelines for use in standards
King, Jack. L; Operational Risk, Wiley Finance, 2001
P.Naïm et A.Becker, les Réseaux Bayésiens, Eyrolles, 1999
Agena, www.agena.co.uk
Bayesia www.bavesia.com
Managing Risk Alan Waring and Ian Glendon. Thomson Learning 1998.
Marc Bouissou Nguyen Thuy. Decision making based on expert assessments: Use of Belief Networks to take into account uncertainty, bias, and weak signals. ESREL 2002, Lyon (France), March 2002
M. Bouissou, F. Martin, A.Ourghanlian. Assessment of a Safety Critical System Including Software: a Bayesian Belief Network for Evidence Sources RAMS′99, Washington, January 1999.
GY Kervern, Eléments fondamentaux des cindyniques, Ed Economica, Paris, 1995
Norsys Software: www.norsvs.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag London
About this paper
Cite this paper
Deleuze, G., Bertin, H., Dutfoy, A., Pierlot, S., Pourret, O. (2004). Use of Bayesian Belief Networks for risk management in energy distribution. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_132
Download citation
DOI: https://doi.org/10.1007/978-0-85729-410-4_132
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1057-6
Online ISBN: 978-0-85729-410-4
eBook Packages: Springer Book Archive