TY - GEN
T1 - CBR method for risk assessment on power grid protection under natural disasters
T2 - 15th International Conference on Computational Science and Its Applications, ICCSA 2015
AU - Yu, Feng
AU - Li, Xiangyang
AU - Wang, Shiying
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Risk analysis is always the pivotal part of emergency preparedness for critical infrastructure protection such as power grid and traffic network. The main contribution of this paper is to employ case-based reasoning (CBR) method (combines case representation and retrieval) to illustrate a risk assessment framework for protecting power grid. It focuses on two core key parts: (1) Using ontology model to express precursors of risk, the described semantic network contains sub-concepts to outline selected precursors from hazards, environment, responders and physical system and (2) by analysis of emergency scenario precursors with sub-concept similarity and fuzzy value similarity calculation, the potential risks could be recognized to assist to retrieve the past knowledge, and effective and feasible actions would be taken to decrease the threats or cut disaster loss for power grid. Via a case study, the result shows that the proposed method extends the applicability of conventional CBR technique to numbers of real-world settings.
AB - Risk analysis is always the pivotal part of emergency preparedness for critical infrastructure protection such as power grid and traffic network. The main contribution of this paper is to employ case-based reasoning (CBR) method (combines case representation and retrieval) to illustrate a risk assessment framework for protecting power grid. It focuses on two core key parts: (1) Using ontology model to express precursors of risk, the described semantic network contains sub-concepts to outline selected precursors from hazards, environment, responders and physical system and (2) by analysis of emergency scenario precursors with sub-concept similarity and fuzzy value similarity calculation, the potential risks could be recognized to assist to retrieve the past knowledge, and effective and feasible actions would be taken to decrease the threats or cut disaster loss for power grid. Via a case study, the result shows that the proposed method extends the applicability of conventional CBR technique to numbers of real-world settings.
KW - Case representation and retrieval
KW - Case-based reasoning (CBR)
KW - Emergency management
KW - Power grid protection
KW - Risk assessment
UR - https://www.scopus.com/pages/publications/84948977321
U2 - 10.1007/978-3-319-21404-7_9
DO - 10.1007/978-3-319-21404-7_9
M3 - 会议稿件
AN - SCOPUS:84948977321
SN - 9783319214030
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 113
EP - 125
BT - Computational Science and Its Applications - ICCSA 2015 - 15th International Conference, Proceedings
A2 - Misra, Sanjay
A2 - Apduhan, Bernady O.
A2 - Murgante, Beniamino
A2 - Gavrilova, Marina L.
A2 - Taniar, David
A2 - Gervasi, Osvaldo
A2 - Misra, Sanjay
A2 - Torre, Carmelo
A2 - Rocha, Ana Maria A.C.
PB - Springer Verlag
Y2 - 22 June 2015 through 25 June 2015
ER -