Research on data mining of the impact and losses of power outages on users

Power outage events can have serious impacts on users' production and life, leading to economic losses. In this paper, a method for analyzing the impact and loss of power outage users based on data mining is proposed to address this issue. Firstly, power outage event data and user data are collected and preprocessed. Then, algorithms such as association rule mining, cluster analysis, and decision trees are applied to discover patterns of power outage events, analyze the degree of user impact, and estimate potential economic losses. Empirical studies show that this method performs best in evaluating household users and needs improvement in assessing industrial and commercial users. The research results provide data support for power supply companies to formulate response measures and optimize power supply methods, thereby improving grid reliability and disaster resilience.