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Journal of Advanced Transportation
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An Efficient Multifeature Model for Improving the Performance of Critical Energy Infrastructure

نموذج فعال متعدد الأنماط لتحسين أداء البنية التحتية الحيوية للطاقة
Authors: Guangping Zhuo; Shah Nazir; Habib Ullah Khan; Neelam Mukhtar;

An Efficient Multifeature Model for Improving the Performance of Critical Energy Infrastructure

Abstract

Energy infrastructure is well thought-out to be one of the complex infrastructures due to its convoluted configuration and automatic control among all of the systems. With such systems, various connections are made for the purpose of configurations. The energy system infrastructure aims to analytically evaluate each element of the system based on fundamental energy branches according to the customer demand. Developing a novel critical evaluation approach for complex energy infrastructure is pertinent to the evaluation of mixed energy system infrastructure. Considering the functional relationships between elements and their infrastructures, a system is needed to overcome the limitations of the current systems. By doing the efficient modeling of enhancing the performance infrastructure of critical energy infrastructure enable better quantitative evaluation of system. The purpose of the proposed study is to develop an evaluation approach for enhancing the performance of critical energy infrastructure. With the help of the proposed approach, efficient multifeature model for enhancing the performance of critical energy infrastructure was experimentally calculated. The experimental setup of the proposed study was done in the Super Decision tool for an efficient multifeature model for enhancing the performance. Results of the experiments reveal the effectiveness of the proposed research.

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690, Artificial intelligence, Complex system, Infrastructure Resilience, Reliability engineering, Critical infrastructure, Engineering, Computer security, Energy infrastructures, FOS: Mathematics, Multifeature model, Efficient energy use, Safety, Risk, Reliability and Quality, HE1-9990, Civil and Structural Engineering, TA1001-1280, Statistics, Super Decision tool, Security Challenges in Smart Grid Systems, Computer science, Distributed computing, Industrial engineering, Transportation engineering, Reliability Assessment of Wind Power Generation Systems, Assessment and Enhancement of Infrastructure Resilience, Control and Systems Engineering, Electrical engineering, Physical Sciences, Energy (signal processing), Transportation and communications, Mathematics

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Top 10%
Average
Green
gold