Multi-system intervention optimization for interdependent infrastructure

Kammouh, Omar; Nogal, María; Binnekamp, Ruud; Wolfert, A.R.M.

doi:10.1016/j.autcon.2021.103698

Cited by 17 publications

(6 citation statements)

References 42 publications

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“…The primary goal of this paper is to cover the shortcomings in existing scientific literature by introducing a scalable integrative multi-system optimization model for infrastructure interventions in which multiple infrastructure networks and stakeholders can be reflected. The work introduced here extends previous work on intervention planning and optimization in (Kammouh et al 2021;Kammouh et al 2020).…”

Section: Introductionmentioning

confidence: 56%

Intervention Grouping Strategy for Multi-component Interconnected Systems; A Scalable Optimization Approach

Kammouh¹,

Marandi²,

Fecarotti³

2022

Book of Extended Abstracts for the 32nd European Safety and Reliability Conference

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Section: Introductionmentioning

confidence: 56%

Intervention Grouping Strategy for Multi-component Interconnected Systems; A Scalable Optimization Approach

Kammouh¹,

Marandi²,

Fecarotti³

2022

Book of Extended Abstracts for the 32nd European Safety and Reliability Conference

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“… 16 Landslides M, P, R SM, Others Secondary [ 45 ] Italy (Municipality) Create a spatial data infrastructure to guide the decision-makers through the procedures related to emergency management. 17 Multiple P Text mining Secondary [ 46 ] USA (community) Link community needs to cover climate risks with suitable federal plans for climate change adaptation 18 Not specified All O Hypothetical [ 47 ] – Minimize the cost of infrastructure interventions, considering different types of interdependencies among the infrastructures. 19 Earthquakes R GT* Secondary [ 48 ] Papua New Guinea (Country) Develop a near real-time information system for delivering humanitarian aid in response to a disaster.…”

Section: Discussionmentioning

confidence: 99%

Decision-making for community resilience: A review of decision support systems and their applications

Elkady,

Hernantes,

Labaka

2024

Heliyon

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“…[259] The interconnectedness of critical infrastructure has important real-world implications, as Buldyrev and co-workers noted in their analysis of a 2003 power blackout in Italy, in which a failure in the power system caused a failure in Italy's internet communication, leading to more power failures, and so on. [260] Research is ongoing to determine best practices for maintaining optimum performance within infrastructure networks, analyzing strategies for periodic network maintenance, [261] rapid recovery following disruptions, [262] cost minimization, [263] and network protection, [264] among others. In that same vein, applying quantum theory to complex networks is becoming an increasingly important research direction that will prevent outages to critical infrastructure.…”

Section: Operational Optimization Of Interdependent Infrastructurementioning

confidence: 99%

Quantum Communication Networks for Energy Applications: Review and Perspective

Paudel,

Crawford,

Lee

et al. 2023

Adv Quantum Tech

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The energy sector is expected to undergo significant changes in the coming decades with the advent of new technologies, including smart grid development, microgrid expansion, increasing electric vehicle and renewable energy usage, and enhanced measures to minimize greenhouse gas emission, among others. In tandem, these changes are expected to create new opportunities for the deployment of quantum technologies within the energy sector. Building on the authors' previous reviews on the current state of and future opportunities for quantum sensing, quantum computing and quantum simulations for energy sector applications, this work provides an overview of recent progress in quantum networking and communications for the energy industry, with a focus on platforms, devices, and protocols, including quantum teleportation and quantum key distribution. Specific areas of relevance to the energy sector are then analyzed, including the role of quantum networks for greenhouse gas monitoring, secure data collection and transmission in smart grids, nuclear power plants’ safety, facilitating oil and gas exploration, and other energy‐relevant applications. This review concludes with a brief overview of areas for future innovation, including the need for platforms for simulating quantum networks, quantum material and platform design, and computational approaches to accelerate quantum protocol discovery and development.

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Multi-system intervention optimization for interdependent infrastructure

Cited by 17 publications

References 42 publications

Intervention Grouping Strategy for Multi-component Interconnected Systems; A Scalable Optimization Approach

Intervention Grouping Strategy for Multi-component Interconnected Systems; A Scalable Optimization Approach

Decision-making for community resilience: A review of decision support systems and their applications

Quantum Communication Networks for Energy Applications: Review and Perspective

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