A5089423808- Probabilistic and Robust Engineering Design
- Risk and Safety Analysis
- Nuclear Engineering Thermal-Hydraulics
- Nuclear reactor physics and engineering
- Fault Detection and Control Systems
- Infrastructure Resilience and Vulnerability Analysis
- Reliability and Maintenance Optimization
- Structural Health Monitoring Techniques
- Multi-Criteria Decision Making
- Superconducting Materials and Applications
- Complex Network Analysis Techniques
- Simulation Techniques and Applications
- Optimal Power Flow Distribution
- Model Reduction and Neural Networks
- Seismic Performance and Analysis
- Neural Networks and Applications
- Electric Power System Optimization
- Flood Risk Assessment and Management
- Fuzzy Systems and Optimization
- Advanced Multi-Objective Optimization Algorithms
- Advanced Data Processing Techniques
- Systems Engineering Methodologies and Applications
- Occupational Health and Safety Research
- Bayesian Modeling and Causal Inference
- Power System Reliability and Maintenance
Polytechnic University of Turin
2017-2024
University of Rome Tor Vergata
2024
National Agency for New Technologies, Energy and Sustainable Economic Development
2024
CentraleSupélec
2015-2018
Université Paris-Saclay
2016-2018
European Science Foundation
2014-2018
Électricité de France (France)
2014-2017
Supélec
2013-2017
Laboratoire Génie Industriel
2017
Bouygues (France)
2017
In this paper, we propose two metrics, i.e., the optimal repair time and resilience reduction worth, to measure criticality of components a network system from perspective their contribution resilience. Specifically, metrics quantify: 1) priority with which failed component should be repaired re-installed into 2) potential loss in due delay recovery component, respectively. Given stochastic nature disruptive events on infrastructure networks, Monte Carlo-based method is proposed generate...
A multi-objective power unit commitment problem is framed to consider simultaneously the objectives of minimizing operation cost and emissions from generation units. To find solution optimal schedule units, a memetic evolutionary algorithm proposed, which combines non-dominated sorting genetic algorithm-II (NSGA-II) local search algorithm. The dispatch sub-problem solved by weighed-sum lambda-iteration approach. proposed method has been tested on systems composed 10 100 units for 24-hour...
Large-scale outages on real-world critical infrastructures, although infrequent, are increasingly disastrous to our society. In this article, we primarily concerned with power transmission networks and consider the problem of allocation generation distributors by rewiring links under objectives maximizing network resilience cascading failure minimizing investment costs. The combinatorial multiobjective optimization is carried out a nondominated sorting binary differential evolution (NSBDE)...
The issue of feature selection is particularly critical for the application monitoring and "on condition" diagnostic techniques to complex plants, like nuclear power where hundreds parameters are measured. Indeed, irrelevant noisy features unnecessarily increase complexity problem can degrade performance. In this paper, choosing among several measured plant those be used efficient, early transient diagnosis tackled by means genetic algorithms. Three different schemes simultaneously...
In this paper, we tackle the problem of searching for most favorable pattern link capacity allocation that makes a power transmission network resilient to cascading failures with limited investment costs. This is formulated within combinatorial multiobjective optimization framework and tackled by evolutionary algorithms. Two different models increasing complexity are used simulate in quantify its resilience: complex model [namely, Motter-Lai (ML) model] more detailed computationally...
Passive systems are fundamental for the safe development of Nuclear Power Plant (NPP) technology. The accurate assessment their reliability is crucial use in nuclear industry. In this paper, we present a review approaches and procedures passive systems. We complete work by discussing pending open issues, particular with respect to need novel sensitivity analysis methods, role empirical modelling integration safety (static/dynamic) Probabilistic Safety Assessment (PSA) framework.