Open AccessResearch on vulnerability assessment technology of power consumption based on data analysis
Author(s) -
Dong Wang,
Tuofu Zhu,
Aoyu Xie,
Guo Ke,
Jie Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/5/052087
Subject(s) - analytic hierarchy process , vulnerability (computing) , index (typography) , consumption (sociology) , electricity , computer science , power consumption , vulnerability assessment , hierarchy , vulnerability index , environmental economics , power (physics) , operations research , process (computing) , data mining , risk analysis (engineering) , reliability engineering , business , computer security , engineering , economics , electrical engineering , sociology , social science , psychological resilience , psychotherapist , ecology , world wide web , biology , operating system , psychology , quantum mechanics , climate change , market economy , physics
In this paper, an evaluation model for the vulnerability of power consumption in enterprises is proposed. Firstly, we establish the customer electricity vulnerability index system, which includes the organizational structure, hidden trouble and optimized power consumption. Then, we calculate the index weight and assignment based on the analytic hierarchy process (AHP). And the comprehensive index method is employed to get the customer electricity vulnerability. At last, an example is employed to show our results clearly.