Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

State Evaluation Method, Monitoring Method and Monitoring Analysis of Small and Medium-Sized Enterprises Based on Power Data

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345324,
        author={Zhanjun  Li and Yong  Wang and Shasha  Liu and Yongrui  Li and Jia  Yu and Shuo  Yang},
        title={State Evaluation Method, Monitoring Method and Monitoring Analysis of Small and Medium-Sized Enterprises Based on Power Data},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={small and medium-sized enterprises; power data;monitoring; evaluation},
        doi={10.4108/eai.15-12-2023.2345324}
    }
    
  • Zhanjun Li
    Yong Wang
    Shasha Liu
    Yongrui Li
    Jia Yu
    Shuo Yang
    Year: 2024
    State Evaluation Method, Monitoring Method and Monitoring Analysis of Small and Medium-Sized Enterprises Based on Power Data
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345324
Zhanjun Li1, Yong Wang1, Shasha Liu2,*, Yongrui Li1, Jia Yu1, Shuo Yang3
  • 1: State Grid Liaoning Electric Power Supply Co., Ltd.
  • 2: Beijing Guodian Tong Network Technology Co. , Ltd.
  • 3: State Grid Liaoning Electric Power company limited Economic Research Institute
*Contact email: yinhongling_123@163.com

Abstract

The purpose of this paper is to discuss the state evaluation method and monitoring method of SMEs (small and medium-sized enterprises) based on power data, analyze its advantages and limitations, and show how to use power data to effectively monitor and analyze the state of enterprises. It is hoped that this new evaluation method will provide more accurate and timely decision-making basis for relevant institutions and enterprises. In this paper, the power data is used to construct the power evaluation index for the development of small and micro enterprises, and the weight of each power index is calculated by EWM(Entropy weight method). The rank sum ratio method is used to analyze and get the evaluation results of the development of small and micro enterprises in various regions. Based on K means clustering method, the energy efficiency utilization of enterprises is evaluated, and the evaluation model and implementation path are given. Finally, a comprehensive energy monitoring and analysis system is established to provide a platform for data integration, model operation and result display for comprehensive energy consumption analysis of enterprises. Through comprehensive energy monitoring and mining analysis, the weak links of comprehensive energy management in enterprises are accurately located, and the optimization scheme is provided for energy-using enterprises.