期刊论文

Analysis on abnormal utilization of water and electricity of residential users based on multi-meter integration

中文

电力自动化设备

1006-6047

2023

43

8

210-216

10.16081/j.epae.202212005

国家自然科学基金资助项目(51777015) 湖南省教育厅重点项目(19A011)。

本校为第一机构

结合Copula分布函数分析居民用户的水电用量之间的相关性,在此基础上提出基于日水、电用量距离相关系数的密度聚类水电异常使用行为分析方法,计算逐日用电量与用水量的距离相关系数来衡量其信息相关度。利用具有噪声的基于密度的聚...展开更多 结合Copula分布函数分析居民用户的水电用量之间的相关性,在此基础上提出基于日水、电用量距离相关系数的密度聚类水电异常使用行为分析方法,计算逐日用电量与用水量的距离相关系数来衡量其信息相关度。利用具有噪声的基于密度的聚类(DBSCAN)算法对台区用户的距离相关系数进行聚类,将水、电使用数据距离相关系数曲线与其他用户差异较大的识别为异常用户。...

Combining with the Copula distribution function,the correlation between water and electricity consumption of residential users is analyzed.On this basis,a density-clustering method based on the distance correlation coefficient of daily water consumption and electricity ...MORE Combining with the Copula distribution function,the correlation between water and electricity consumption of residential users is analyzed.On this basis,a density-clustering method based on the distance correlation coefficient of daily water consumption and electricity consumption is proposed to analyze the abnormal util...