Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8–10, 2023, Wuhan, China

Research Article

Exploration of Sustainable Development Strategies and Applications for Grid Management in Smart Communities

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  • @INPROCEEDINGS{10.4108/eai.8-9-2023.2340049,
        author={Tao  Guo and Hongle  Du and Na  Li and Thelma Domingo Palaoag},
        title={Exploration of Sustainable Development Strategies and Applications for Grid Management in Smart Communities },
        proceedings={Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8--10, 2023, Wuhan, China},
        publisher={EAI},
        proceedings_a={ICMEIM},
        year={2023},
        month={11},
        keywords={technical architecture big data analysis adaptive updating resource optimization and allocation iot},
        doi={10.4108/eai.8-9-2023.2340049}
    }
    
  • Tao Guo
    Hongle Du
    Na Li
    Thelma Domingo Palaoag
    Year: 2023
    Exploration of Sustainable Development Strategies and Applications for Grid Management in Smart Communities
    ICMEIM
    EAI
    DOI: 10.4108/eai.8-9-2023.2340049
Tao Guo1,*, Hongle Du1, Na Li1, Thelma Domingo Palaoag1
  • 1: University of the Cordilleras
*Contact email: t-g6558@students.uc-bcf.edu.ph

Abstract

The aim of this study is to explore the principles and characteristics of applying grid management for sustainable development in smart communities. Through literature analysis and data collection, we have successfully developed a system called the "E-DONGDA SMART COMMUNITY SYSTEM," which combines the synergistic effects of the Internet of Things, big data analytics, and artificial intelligence, providing robust technological support for grid management. Within this system architecture, a user feedback system has been introduced, and feedback evaluation metrics have been established, creating a user-engaged sustainable development indicator framework.This system effectively leverages user feedback and maintenance data as essential foundations for enhancing community services and meeting user needs. Analyzing the operational data, we observed a continuous decrease in system maintenance frequency, accompanied by a gradual increase in self-optimization occurrences. This indicates that the grid-based smart community capitalizes on the advantages of user-engaged sustainable development indicators, significantly improving management efficiency, optimizing resource allocation, strengthening security monitoring, and continuously promoting system improvements to achieve sustainable development goals.