With the development of smart grid and Internet of Things technology,abnormal electricity consumption behavior detection has become particularly important.This paper proposes an abnormal electricity consumption behavior detection method based on TOPSIS feature selection.By using electricity consumption data from users in the aquaculture industry to calculate the relative closeness between each feature and the ideal point and negative ideal point,the features are sorted and the most representative features are selected.The experimental results show that this method can effectively improve the performance of the anomaly de-tection model,with high accuracy and reliability,providing strong support for electricity safety management in the aquaculture industry.
关键词
TOPSIS/特征选择/异常用电行为检测/养殖行业
Key words
TOPSIS/feature selection/abnormal electricity usage behavior detection/breeding industry
维普
万方数据