An Efficient Multifeature Model for Improving the Performance of Critical Energy Infrastructure. (16th November 2021)

• Record Type: Journal Article
• Authors: Zhuo, Guangping; Nazir, Shah; Khan, Habib Ullah; Mukhtar, Neelam
• Other Names: Arif Muhammad Academic Editor.
• Is Part Of: Journal of advanced transportation. Volume 2021(2021)
• Publication Date: 2021-11-16
• Subjects: Transportation -- Periodicals; 388.05
• DOI: 10.1155/2021/8411379
• Languages: English
• ISSNs: 0197-6729

Abstract

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.