Optimizing the Resilience of Interdependent Infrastructure Systems against Intentional Attacks

Stochastic Optimization and Reinforcement Learning for the Resilience of Infrastructure Networks against Climate Change

Optimum Post-Disruption Restoration under Uncertainty for Enhancing Critical Infrastructure Resilience

Optimal Production Facility Allocation for Failure Resilient Critical Infrastructures

Maintenance planning under imperfect monitoring: two POMDP approaches to quantify the value of information

Resilience Assessment and Importance Measure for Interdependent Critical Infrastructures

Optimal Capacity Allocation for a Failure Resilient Electrical Infrastructure

Risk Assessment of Electrical Power Systems Considering Traffic Congestion

Power System Design for Resilience and Flexibility Against Extreme Weather Events

Hierarchical Modeling by Recursive Unsupervised Spectral Clustering and Network Extended Importance Measures to Analyze the Reliability Characteristics of Complex Network Systems

Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks

Resilience Enhancement for Multistate Interdependent Infrastructure Networks: From a Preparedness Perspective

A hybrid approach to solve the maintenance problem of an offshore wind farm formulated as a large-scale POMDP

Resilience Enhancement of Microgrids with Distributionally Robust Optimal Sizing and Location of Distributed Energy Resources Under Supply-Demand Uncertainty and Random Contingencies

Analysis of the Vulnerability of Smart Grids to Social Network-Based Attacks

Comparing Topological and Physical Approaches to Network Modeling for the Optimization of Failure-Resilient Electrical Infrastructures

A comparative study on the robust optimal design of microgrids under random contingency

Resilience enhancement of distributions networks under uncertainty and random contingencies with robust optimal sizing and location of DER

Maintenance Planning under Imperfect Monitoring: an Efficient POMDP Model Using Interpolated Value Function

Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems

An optimization model for planning testing and control strategies to limit the spread of a pandemic – The case of COVID-19

A Deep Learning Approach for Flight Delay Prediction through Time-Evolving Graphs

Resilience Management of Infrastructure Systems from a Multistage Decision Making Perspective

Application of Topological Network Measures to Identify Critical Gas Transmission Network Components

Game-Theoretic Decision Making for the Resilience of Interdependent Infrastructures Exposed to Disruptions

Condition-Based Maintenance Optimization Under Large Action Space with Deep Reinforcement Learning Method

A Moment-based Distributionally Robust Optimization Model for Air Traffic Flow Management

Distributionally Robust Optimization For Decision Making Under Uncertainty For RAMS

Impact of imperfect monitoring on the optimal condition-based maintenance policy of a single-item system

An improved cell transmission model of traffic considering electric vehicles and charging stations

Solving two-stage distributionally robust optimization with mixed-integer ambiguity sets via a hybrid Benders and column-and-constraint decomposition method

Resilience of Smart Power Grids to False Pricing Attacks in the Social Network

Topological and functional vulnerability analysis and mitigation for single-source heating networks based on tree models

A modeling and optimization framework for power system design with operational flexibility and resilience against extreme weather events

A zero-sum Markov defender-attacker game for modeling false pricing in smart grids and its solution by multi-agent reinforcement learning

Optimization of Cascade-Resilient Electrical Infrastructures and its Validation by Power Flow Modelling

A variational Bayesian deep reinforcement learning approach for resilient post-disruption recovery of distribution grids

Improving the resilience of power grids against typhoons with data-driven spatial distributionally robust optimization

Toward Decision-Oriented Prognostics: An Integrated Estimate-Optimize Framework for Predictive Maintenance

Comparing Network-Centric and Power Flow Models for the Optimal Allocation of Link Capacities in a Cascade-Resilient Power Transmission Network

Vulnerability analysis of demand-response with renewable energy integration in smart grids to cyber attacks and online detection methods

A zero-sum Markov defender-attacker game for modeling false pricing in smart grids and its solution by multi-agent reinforcement learning

An Optimization-Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards

Understanding District Heating Networks Vulnerability: A Comprehensive Analytical Approach with Controllability Consideration

Resilient Critical Infrastructure Planning Under Disruptions Considering Recovery Scheduling

A Selective Review on Information Criteria in Multiple Change Point Detection

A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures

Two-Stage Stochastic Resilience Optimization of Converter Stations Under Uncertain Mainshock-Aftershock Sequences

Resilience-based optimal post-disruption reconfiguration for traffic-power systems

Assessing the resilience of an electrified transportation network considering failures of charging stations