Paper
14 February 2024 The modeling and analyzing for the acceleration of consensus in a grid/micro-grid organized community
Xinliang Qi, Zhuxi Chen, Weiping Liao
Author Affiliations +
Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130183Y (2024) https://doi.org/10.1117/12.3023988
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
The opinions and suggestions of diverse decision-making groups impact the formulation of regulations in the community. The grid/micro-grid system for community management fosters information exchange and enhances cohesion among residents. In this paper, the parameters of grid/micro-grid system are evaluated and integrated into a consensus model based on trust propagation and comprehensive clustering method. The model is employed to analyze the acceleration of consensus in a grid/micro-grid organized community. The experimental results illustrate that the grid/micro-grid system can effectively accelerate the consensus among decision-making groups.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xinliang Qi, Zhuxi Chen, and Weiping Liao "The modeling and analyzing for the acceleration of consensus in a grid/micro-grid organized community", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130183Y (14 February 2024); https://doi.org/10.1117/12.3023988
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KEYWORDS
Decision making

Social networks

Modeling

Analytical research

Organization management

Social network analysis

Data modeling

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