Meteorological Risk Assessment of Power Grid Based on Improved Association Rule Mining
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.
data cubedata miningmultidimensional association rulesmeteorological disasterrisk assessment
万方数据
维普
