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Yi-Ping Fang
Yi-Ping Fang
Associate Professor, HDR, Industrial Engineering, CentraleSupelec, Universite Paris-Saclay
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Resilience-based component importance measures for critical infrastructure network systems
YP Fang, N Pedroni, E Zio
IEEE Transactions on Reliability 65 (2), 502-512, 2016
2532016
Optimizing power system investments and resilience against attacks
Y Fang, G Sansavini
Reliability Engineering & System Safety 159, 161-173, 2017
1752017
An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards
YP Fang, E Zio
European Journal of Operational Research 276 (3), 1119-1136, 2019
1492019
Optimum post-disruption restoration under uncertainty for enhancing critical infrastructure resilience
YP Fang, G Sansavini
Reliability Engineering & System Safety 185, 1-11, 2019
1482019
A mathematical framework to optimize critical infrastructure resilience against intentional attacks
M Ouyang, Y Fang
Computer‐Aided Civil and Infrastructure Engineering 32 (11), 909-929, 2017
1362017
Risk assessment of an electrical power system considering the influence of traffic congestion on a hypothetical scenario of electrified transportation system in New York state
H Wang, YP Fang, E Zio
IEEE Transactions on Intelligent Transportation Systems 22 (1), 142-155, 2019
1022019
A modeling and optimization framework for power systems design with operational flexibility and resilience against extreme heat waves and drought events
AF Abdin, YP Fang, E Zio
Renewable and Sustainable Energy Reviews 112, 706-719, 2019
972019
A Markov reward process-based framework for resilience analysis of multistate energy systems under the threat of extreme events
Z Zeng, YP Fang, Q Zhai, S Du
Reliability Engineering & System Safety 209, 107443, 2021
812021
Optimization of cascade‐resilient electrical infrastructures and its validation by power flow modeling
Y Fang, N Pedroni, E Zio
Risk Analysis 35 (4), 594-607, 2015
752015
Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems
H Wang, YP Fang, E Zio
Reliability Engineering & System Safety 222, 108408, 2022
732022
A deep learning approach for flight delay prediction through time-evolving graphs
K Cai, Y Li, YP Fang, Y Zhu
IEEE Transactions on Intelligent Transportation Systems 23 (8), 11397-11407, 2021
732021
A hierarchical resilience enhancement framework for interdependent critical infrastructures
X Liu, YP Fang, E Zio
Reliability Engineering & System Safety 215, 107868, 2021
682021
An optimization model for planning testing and control strategies to limit the spread of a pandemic–The case of COVID-19
AF Abdin, YP Fang, A Caunhye, D Alem, A Barros, E Zio
European Journal of Operational Research 304 (1), 308-324, 2023
442023
An integrated resilience assessment methodology for emergency response systems based on multi-stage STAMP and dynamic Bayesian networks
X An, Z Yin, Q Tong, Y Fang, M Yang, Q Yang, H Meng
Reliability Engineering & System Safety 238, 109445, 2023
432023
Comparing Network-Centric and Power Flow Models for the Optimal Allocation of Link Capacities in a Cascade-Resilient Power Transmission Network
YP Fang, N Pedroni, E Zio
IEEE System Journal, 2014
412014
Emergence of antifragility by optimum postdisruption restoration planning of infrastructure networks
Y Fang, G Sansavini
Journal of Infrastructure Systems 23 (4), 04017024, 2017
402017
Vulnerability analysis of demand-response with renewable energy integration in smart grids to cyber attacks and online detection methods
D Tang, YP Fang, E Zio
Reliability Engineering & System Safety 235, 109212, 2023
382023
On the resilience assessment of complementary transportation networks under natural hazards
C Fang, Y Chu, H Fu, Y Fang
Transportation research part D: transport and environment 109, 103331, 2022
382022
An optimization‐based framework for the identification of vulnerabilities in electric power grids exposed to natural hazards
YP Fang, G Sansavini, E Zio
Risk Analysis 39 (9), 1949-1969, 2019
382019
Resilient critical infrastructure planning under disruptions considering recovery scheduling
YP Fang, C Fang, E Zio, M Xie
IEEE Transactions on Engineering Management 68 (2), 452-466, 2019
362019
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Artículos 1–20