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Multidimensional Risk Management for Underground Electricity Networks Cover

Multidimensional Risk Management for Underground Electricity Networks

Open Access
|Aug 2014

References

  1. Ackoff, R. L. (1971). Towards a system of systems concepts., 661–671.
  2. Almeida, A. T. de (2001). Multicriteria decision making on maintenance: Spares and contracts planning., 235–241.
  3. Dueñas-Osorio, L. and Vemuru, S. M. (2009). Cascading failures in complex infrastructure systems., 157–167.
  4. Erdös P. & Rényi A. (1960). On the evolution of random graphs., 17–61.
  5. Garcez, T. V., & Almeida, A. T. de. (2013). Multidimensional Risk Assessment of Manhole Events as a Decision Tool for Ranking the Vaults of an Underground Electricity Distribution System.. doi:10.1109/TPWRD.2013.2273083
  6. Gilbert, N., & Troitzsch, K. G. (2005). Simulation for the social scientist, McGraw-Hill International.
  7. Hagberg A. A., Schult D. A, Swart P.J. (2008). Exploring network structure, dynamics, and function using NetworkX., Pasadena, CA USA, 11–15.
  8. Han, Z. X., & Cao, Y. J. (2004). Power system security and its prevention., 1–6.
  9. Holland, J.H. (1992). Complex Adaptive Systems,, 17–30.
  10. Keeney, R.L., Raiffa, H. (1976). Decision With Multiple Objectives: Preferences and Value Trade-offs. New York: Wiley.
  11. Koch, B., & Carpentier, Y. (1992). Manhole explosions due to arcing faults on underground secondary distribution cables in ducts., 1425–1433. doi:10.1109/61.141861
  12. Law, A. M. (2007). Simulation modeling and analysis, Boston, MA: McGraw-Hill Education.
  13. Li, W., & Lu, J. (2005). Risk Evaluation of Combinative Transmission Network and Substation Configurations and its Application in Substation Planning., May 2005.
  14. Mitchell M. (2009). Complexity – a guided tour, New York: Oxford University Press.
  15. Python Software Foundation. Python Language Reference, version 3.3. Available at http://www.python.org.
  16. Rudin, C., Waltz, D., Anderson, R. N., Boulanger, A., Salleb-Aouissi, A., Chow, M., … Wu, L. (2012). Machine learning for the New York City power grid., 328–45. doi:10.1109/TPAMI.2011.108
  17. Sayamam H. (2013). PyCX: a Python-based simulation code repository for complex systems education,, 1:2.
  18. Sun, K. (2005). Complex Networks Theory: A New Method of Research in Power Grid. IEEE Conference & Exhibition: Asia and Pacific Dalian, China.
  19. Walsh, B. P., & Black, W. Z. (2005). Thermodynamic and Mechanical Analysis of Short Circuit Events in an Underground Vault., 2235–2240. doi:10.1109/TPWRD.2005.848445
  20. Watts D.J. and Strogatz S.H. (1998). Collective dynamics of ‘small-world’ networks,, 440–442
  21. Wildberger, A. M. (1997). Complex adaptive systems: concepts and power industry applications., 77–88
DOI: https://doi.org/10.2478/slgr-2014-0017 | Journal eISSN: 2199-6059 (formerly 0860-150X) | Journal ISSN: 0860-150X
Language: English
Page range: 51 - 69
Published on: Aug 8, 2014
Published by: University of Białystok
In partnership with: Paradigm Publishing Services
Related subjects:

© 2014 Thalles V. Garcez, Przemyslaw Szufel, published by University of Białystok
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.