典型文献
Estimating the Spatial Variation of Electricity Consumption Anomalies and the Influencing Factors
文献摘要：
Effective detection of abnormal electricity users and analysis of the spatial distribution and influencing factors of abnormal electricity consumption in urban areas have positive effects on the quality of electricity consumption by customers, safe operation of power grids, and sustainable development of cities. However, current abnormal electricity consumption detection models do not consider the time dependence of time-series data and rely on a large number of training samples, and no study has analyzed the spatial distribution and influencing factors of abnormal electricity consumption in urban areas. In this study, we use the Seasonal-Trend decomposition procedure based on Loess ( STL ) based time series decomposition and outlier detection to detect abnormal electricity consumption in the central city of Pingxiang, and analyze the relationship between spatial variation and urban functions through Geodetector. The results show that the degree of abnormal electricity consumption in urban areas is related to geographic location and has spatial heterogeneity, and the abnormal electricity users are mainly located in areas with highly mixed residential, commercial and entertainment functions in the city. The results obtained from this study can provide a reference basis and a theoretical foundation for the detection of abnormal electricity consumption by users and the arming of electricity theft devices in the power grid.
文献关键词：
中图分类号：
作者姓名：
Yuyun LIANG;Yao YAO;Xiaoqin YAN;Qingfeng GUAN
作者机构：
School of Geography and Information Engineering,China University of Geosciences,Wuhan 430078,China
文献出处：
引用格式：
[1]Yuyun LIANG;Yao YAO;Xiaoqin YAN;Qingfeng GUAN-.Estimating the Spatial Variation of Electricity Consumption Anomalies and the Influencing Factors)[J].测绘学报（英文版）,2022(02):29-37
A类：
Pingxiang,arming
B类：
Estimating,Spatial,Variation,Electricity,Consumption,Anomalies,Influencing,Factors,Effective,detection,abnormal,electricity,users,analysis,spatial,distribution,influencing,factors,consumption,urban,areas,have,positive,effects,quality,by,customers,safe,operation,power,grids,sustainable,development,cities,However,current,models,do,not,consider,dependence,series,data,rely,large,number,training,samples,study,has,analyzed,this,Seasonal,Trend,decomposition,procedure,Loess,STL,outlier,central,relationship,between,variation,functions,through,Geodetector,results,show,that,degree,related,geographic,location,heterogeneity,mainly,located,highly,mixed,residential,commercial,entertainment,obtained,from,can,provide,reference,basis,theoretical,foundation,theft,devices
AB值：
0.506634
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