Operating Performance Assessment for Smart Electric Meter Based on Improved Evidence Theory

被引:0
作者
Zhang, Siqi [1 ]
Li, Tian [1 ]
Yang, Yuxin [1 ]
Guo, Ziwei [2 ]
Zhu, Yungang [1 ]
机构
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun, Peoples R China
[2] Jilin Univ, Coll Automot Engn, Changchun, Peoples R China
来源
FUZZY SYSTEMS AND DATA MINING V (FSDM 2019) | 2019年 / 320卷
关键词
Performance Assessment; Smart Electric Meter; Evidence Theory;
D O I
10.3233/FAIA190248
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the era of Smart Grid, automated assessment of operating performance for smart electric meter is a challenging problem. It needs fuse multiple operating data of smart meters, this fusion is a typical ordered proposition fusion, i.e., the probability curve of fusion result should be convex. Traditional Dempster-Shafer theory model cannot guarantee the convex property, to issue the problem, in this paper we proposed an improved evidence theory based on asymmetric Gaussian model. Both theoretical analysis and experimental results demonstrate the effectiveness of the proposed method.
引用
收藏
页码:774 / 779
页数:6
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