Research on risk assessment method of energy system based on data mining

Lei Zhang, Huaxi Chen and Mali Zheng

International Journal of Global Energy Issues, 2022, vol. 44, issue 1, 47-64

Abstract: In order to overcome the problem of data index confusion and index weight ambiguity in the traditional energy system risk assessment process, this paper proposes an energy system risk assessment method based on data mining. This method USES data mining technology and quantitative index processing method to select risk assessment index of energy system, construct risk assessment index system of energy system, determine the weight of risk assessment index of energy system, and build risk assessment model of energy system on this basis. The experimental results show that the weighing accuracy and evaluation accuracy of the proposed method are above 90%, and the skewness coefficient is always close to 0. The method has a high degree of rationality in energy risk index selection, high precision in index weight and high accuracy in evaluation results, which can effectively guarantee the safety of urban energy system.

Keywords: data mining; energy system; indicator system; risk assessment. (search for similar items in EconPapers)
Date: 2022
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