Giovanni Sansavini
Giovanni Sansavini
Reliability and Risk Engineering Lab, Institute of Energy and Process Engineering, ETH Zurich
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
A quantitative method for assessing resilience of interdependent infrastructures
C Nan, G Sansavini
Reliability Engineering & System Safety 157, 35-53, 2017
2192017
The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures
I Eusgeld, W Kröger, G Sansavini, M Schläpfer, E Zio
Reliability Engineering & System Safety 94 (5), 954-963, 2009
1562009
Modeling interdependent network systems for identifying cascade-safe operating margins
E Zio, G Sansavini
IEEE Transactions on Reliability 60 (1), 94-101, 2011
1542011
Monte Carlo simulation-based probabilistic assessment of DG penetration in medium voltage distribution networks
E Zio, M Delfanti, L Giorgi, V Olivieri, G Sansavini
International Journal of Electrical Power & Energy Systems 64, 852-860, 2015
962015
Optimizing power system investments and resilience against attacks
Y Fang, G Sansavini
Reliability Engineering & System Safety 159, 161-173, 2017
922017
Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction
YQ Chen, O Fink, G Sansavini
IEEE Transactions on Industrial Electronics 65 (1), 561-569, 2017
852017
Component criticality in failure cascade processes of network systems
E Zio, G Sansavini
Risk Analysis: An International Journal 31 (8), 1196-1210, 2011
652011
Vulnerability of Smart Grids With Variable Generation and Consumption: A System of Systems Perspective
E Zio, G Sansavini
IEEE Transactions on Systems Man and Cybernetics: Systems 43 (3), 2013
632013
A stochastic framework for uncertainty analysis in electric power transmission systems with wind generation
G Sansavini, R Piccinelli, LR Golea, E Zio
Renewable Energy 64, 71-81, 2014
582014
Non-dominated sorting binary differential evolution for the multi-objective optimization of cascading failures protection in complex networks
YF Li, G Sansavini, E Zio
Reliability Engineering & System Safety, 2013
542013
Electrical power generation under policy constrained water-energy nexus
B Gjorgiev, G Sansavini
Applied Energy 210, 568-579, 2018
422018
An analytical approach to the safety of road networks
E Zio, G Sansavini, R Maja, G Marchionni
International Journal of Reliability, Quality and Safety Engineering 15 (01 …, 2008
412008
Benchmarking quasi-steady state cascading outage analysis methodologies
P Henneaux, E Ciapessoni, D Cirio, E Cotilla-Sanchez, R Diao, I Dobson, ...
2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018
402018
Optimizing protections against cascades in network systems: A modified binary differential evolution algorithm
E Zio, LR Golea, G Sansavini
Reliability Engineering & System Safety 103, 72-83, 2012
402012
Gas-constrained secure reserve allocation with large renewable penetration
A Antenucci, G Sansavini
IEEE Transactions on Sustainable Energy 9 (2), 685-694, 2017
382017
Optimum post-disruption restoration under uncertainty for enhancing critical infrastructure resilience
YP Fang, G Sansavini
Reliability Engineering & System Safety 185, 1-11, 2019
372019
Engineering resilience in critical infrastructures
G Sansavini
Resilience and Risk, 189-203, 2017
322017
Water-energy nexus: Impact on electrical energy conversion and mitigation by smart water resources management
B Gjorgiev, G Sansavini
Energy Conversion and Management 148, 1114-1126, 2017
302017
Towards a generic resilience management, quantification and development process: general definitions, requirements, methods, techniques and measures, and case studies
I Häring, G Sansavini, E Bellini, N Martyn, T Kovalenko, M Kitsak, ...
Resilience and risk, 21-80, 2017
282017
Building an integrated metric for quantifying the resilience of interdependent infrastructure systems
C Nan, G Sansavini, W Kröger
International Conference on Critical Information Infrastructures Security …, 2014
282014
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