A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system

Author:

Hossain Niamat Ullah Ibne,Jaradat Raed,Hosseini Seyedmohsen,Marufuzzaman Mohammad,Buchanan Randy K.

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Safety, Risk, Reliability and Quality,Modelling and Simulation

Reference78 articles.

1. U.S. Department of Energy, United States Electricity Industry Primer, 2015. Available from: https://www.energy.gov/sites/prod/files/2015/12/f28/united-states-electricity-industry-primer.pdf.

2. B.L. Preston, S.N. Backhaus, M. Ewers, J.A. Phillips, J.E. Dagle, C.A. Silva-Monroy, A.G. Tarditi, J. Looney, T.J. King Jr., Resilience of the US Electricity System: A Multi-Hazard Perspective, Department of Energy. Washington DC, 2016.

3. Presidents Council of Economic Advisers and the U.S. Department of Energys Office of Electricity Delivery and Energy Reliability, Economic Benefits of Increasing Electric Grid Resilience to Weather Outages, 2013. Available from: https://www.energy.gov/sites/prod/files/2013/08/f2/Grid%20Resiliency%20Report_FINAL.pdf.

4. National Academies of Sciences, Engineering, and Medicine, Enhancing the Resilience of the Nation’s Electricity System, 2017. Available from: https://www.naesb.org/misc/nas_report.pdf.

5. P. Tamvakis, Y. Xenidis, Comparative evaluation of resilience quantification methods for infrastructure systems, Procedia-Social and Behavioral Sciences, vol. 74, pp. 339–348, 2013.

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