An Efficient Multifeature Model for Improving the Performance of Critical Energy Infrastructure
| Autor: | Shah Nazir, Neelam Mukhtar, Habib Ullah Khan, Guangping Zhuo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Economics and Econometrics
Decision tool TA1001-1280 Automatic control Article Subject Computer science Complex energy Strategy and Management Mechanical Engineering Super Decision tool Energy infrastructure Computer Science Applications Reliability engineering Transportation engineering Critical energy Automotive Engineering Energy infrastructures Multifeature model Energy system Transportation and communications Energy (signal processing) Computer Science::Distributed Parallel and Cluster Computing HE1-9990 |
| Zdroj: | Journal of Advanced Transportation, Vol 2021 (2021) |
| ISSN: | 2042-3195 |
| Popis: | 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. National Natural Science Foundation of Shanxi Province (201801D121147). |
| Databáze: | OpenAIRE |
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