Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China

Research Article

Industry “Angiography”: an Industry Map System Based on Electricity Marketing Data

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  • @INPROCEEDINGS{10.4108/eai.9-12-2022.2327573,
        author={Qiuying  Shen and Wentao  Zhang},
        title={Industry “Angiography”: an Industry Map System Based on Electricity Marketing Data},
        proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2023},
        month={3},
        keywords={electricity marketing; big data; industry map},
        doi={10.4108/eai.9-12-2022.2327573}
    }
    
  • Qiuying Shen
    Wentao Zhang
    Year: 2023
    Industry “Angiography”: an Industry Map System Based on Electricity Marketing Data
    MSIEID
    EAI
    DOI: 10.4108/eai.9-12-2022.2327573
Qiuying Shen1,*, Wentao Zhang1
  • 1: State Grid Suzhou Municipal Electric Power Company
*Contact email: 1405302529@qq.com

Abstract

Based on electricity marketing data, and integrating GIS, commerce data, this paper constructs an industry map to dynamically show and monitor the development status and trend of specific industries in specific regions under different granularity. In the dimension of electric power marketing data, through the statistical processing of basic electricity consumption information, electricity consumption level, electricity consumption fluctuation and electricity consumption trend of enterprises, the real operation status and trend of enterprises are presented; in the dimension of industry, the industrial label and industrial classification of enterprises are formed through the word division and clustering algorithm; in the dimension of geography, the geographical location of enterprises is marked with the help of GIS. Finally, with industry and GIS as the two-dimensional coordinates, we present the development status and trend of industries under different granularity through enterprises' electricity consumption data, and provide systematic support for the government's industrial development decisions and other scenarios.