In order to provide a basis for forecasting and early warning of power meteorological disasters,a quantitative evalua-tion method of power grid meteorological disaster risk based on improved multi-dimensional association rule mining is proposed.Firstly,the data information composition of meteorological elements and power outages in historical power outage events is ana-lyzed,and a multi-dimensional power grid fault data cube is constructed.On this basis,in order to quantitatively evaluate the mete-orological disaster risk of power grid,a risk coefficient calculation method is proposed to improve the multi-dimensional association rule mining algorithm.At the same time,the generation and screening of association rules are optimized to improve the efficiency of data mining and the credibility of association rules.Then,based on the association rule base obtained from data mining,the meteo-rological disaster risk of power grid is quantitatively evaluated.Finally,the effectiveness of the proposed method is verified by ana-lyzing the data of a regional power grid.
关键词
数据立方体/数据挖掘/多维关联规则/气象灾害/风险评估
Key words
data cube/data mining/multidimensional association rules/meteorological disaster/risk assessment
维普
万方数据