Non-technical loss detection by multi-dimensional outlier analysis on the remote metering data

摘要：

　　A multi-dimensional outlier analysis method is presented in this paper for electricity stealing suspect detection (ESSD). A preprocessing method is first presented to resolve the defects in remote metering data. After that, six features are extracted from the customers daily consumption series, and a cluster-outlier interactive algorithm is applied for solving the ESSD problem. A case study with an estate located in the north of Shanghai, China is provided at the end of the paper. Results show that the presented method can search out the electricity stealers timely in their first months of consumption drop, and is of much higher search rate and much lower misjudgment rate relative to the one-dimensional outlier analysis method.

关键词： Non-technical loss analysis remote metering outlier detection multi-dimensional

作者: HAN Yuejun LIU Fubin XIN Jieqing MOU Tingting

作者单位: Shibei Electricity Supply Company,SMEPC,200072 Shanghai,China East China Grid Company Limited,Shanghai 200120,China Department of EE,Shanghai Jiaotong University,200240 Shanghai,China

会议类型: 国际会议

会议名称: 2016中国国际供电会议(CICED2016)

会议地点: 西安

会议语种:英文

页码: 1-6

在线出版日期: 2016-09-01（万方平台首次上网日期，不代表论文的发表时间）