LOW VOLTAGE APPARATUS ›› 2023, Vol. 0 ›› Issue (8): 53-60.doi: 10.16628/j.cnki.2095-8188.2023.08.009

• Evaluation & Prediction Technology • Previous Articles     Next Articles

Industry Correlation Chart Model for Industry Chain Feature Mining and Industry Screening for Orderly Electricity Consumption

LUO Min, YANG Jingxu, ZHOU Shangli, LAI Yuchen, XIANG Rui, GUO Yangyun   

  1. Joint Laboratory of New Power System Digital Technology, China Southern Power Grid Digital Grid Research Institute Co.,Ltd., Guangzhou 510300, China
  • Received:2023-02-24 Online:2023-08-30 Published:2023-10-19

Abstract:

In order to further explore the multi-dimensional value of industry electricity data and support the orderly electricity consumption plan arrangement of the power grid, an industry correlation chart model for industry chain feature mining and industry screening for orderly electricity consumption is proposed.Firstly, considering the time difference characteristics of production activities in the upstream and downstream industrial chains, an industry electricity correlation model is proposed.Secondly, an industry inward and outward electricity consumption characteristics assessment model and its characteristic development trend assessment method are proposed. And the industry sensitivity and the radiation intensity are proposed to quantify the influence of power demand between industries and the radiation intensity of each industry on social production.Subsequently, the industry correlation matrix and correlation chart are proposed to support the industry screening for orderly electricity consumption. Finally, it is verified by the examples that the proposed correlation chart model can effectively explore the industry chain characteristics of upstream and downstream association relationships of industries, and has great value in the industry screening of orderly electricity consumption.

Key words: industrial chain, industry correlation, orderly electricity consumption, correlation chart, industry electricity

CLC Number: