Risk mitigation strategies for critical infrastructures based on graph centrality analysis

Stergiopoulos, George; Kotzanikolaou, Panayiotis; Theocharidou, Marianthi; Gritzalis, Dimitris

doi:10.1016/j.ijcip.2015.05.003

Cited by 57 publications

(26 citation statements)

References 13 publications

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“…Sedano et al [43] presented a similar proposal to detect thermal insulation failures in buildings also based on neural networks. The identification of the consequences of faults in critical infrastructures has been addressed by using graph analysis techniques [44]. A further step in this direction would be using Bayesian networks to model the relations between events and their likelihood.…”

Section: Fault Detection and Preventionmentioning

confidence: 99%

Data science for building energy management: A review

Molina-Solana

Ros

Ruiz

et al. 2017

Renewable and Sustainable Energy Reviews

228

108

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The energy consumption of residential and commercial buildings has risen steadily in recent years, an increase largely due to their HVAC systems. Expected energy loads, transportation, and storage as well as user behavior influence the quantity and quality of the energy consumed daily in buildings. However, technology is now available that can accurately monitor, collect, and store the huge amount of data involved in this process. Furthermore, this technology is capable of analyzing and exploiting such data in meaningful ways. Not surprisingly, the use of data science techniques to increase energy efficiency is currently attracting a great deal of attention and interest. This paper reviews how Data Science has been applied to address the most difficult problems faced by practitioners in the field of Energy Management, especially in the building sector. The work also discusses the challenges and opportunities that will arise with the advent of fully connected devices and new computational technologies.

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Section: Fault Detection and Preventionmentioning

confidence: 99%

Data science for building energy management: A review

Molina-Solana

Ros

Ruiz

et al. 2017

Renewable and Sustainable Energy Reviews

228

108

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“…Additionally, climate impacts can trigger changes to society (e.g., different tourist destinations) and the economy (e.g., reduced agricultural production). Tables 1 and 2 present the climatic events and risks of climate change for various transportation modes based on a literature analysis [4,9,16].…”

Section: Climate Change Impacts On Transportationmentioning

confidence: 99%

Protecting the Transportation Sector From the Negative Impacts of Climate Change

Lykou¹,

Stergiopoulos²,

Papachrysanthou³

et al. 2017

Critical Infrastructure Protection XI

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Observed and projected climate changes, such as temperature increase, sea-level rise and increases in the frequency and intensity of extreme weather events, are posing challenges to critical infrastructure operations, especially in the transportation sector, which is a pillar of economy and society. Like the other critical infrastructure sectors, the transportation sector comprises complex systems with responsibilities distributed across many stakeholders. The challenges to implementing integrated climate change adaptation approaches in the transportation sector require appropriate governance and coordinated action. Adaptation to climate change demands resilient and sustainable infrastructures. However, despite the importance of the transportation sector and the huge challenges posed by climate change, adaptation to climate change as a means to reduce risk in the sector is relatively low. Adaptation actions require climate vulnerability analyses and impact knowledge that would help ensure that adaptation options are properly identified, evaluated and monitored. This research attempts to identify and analyze global adaptation initiatives in order to classify adaptation options while also focusing on emerging adaptation challenges and opportunities in the transportation sector. This research should assist the various stakeholders in improving the effectiveness and future sustainability of transportation while stimulating actions for adapting to climate change.

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“…For example, Bouchon [3] has presented a critical infrastructure asset identification method based on asset interdependencies. Stergiopoulos et al [17] have proposed expanding dependency analysis using graph centrality in order to identify critical infrastructure assets.…”

Section: Scopementioning

confidence: 99%