Classification of Nonlinear Loads based on Artificial Neural Networks

被引：0

作者：

Stosovic, M. Andrejevic ^{[1
]}

Stevanovic, D. ^{[2
]}

Dimitrijevic, M. ^{[1
]}

机构：

[1] Univ Nis, Fac Elect Engn, Aleksandra Medvedeva 14, Nish 18000, Serbia

[2] ICAT, Bulevar Nikole Tesle 61, Nish 18000, Serbia

来源：

2017 IEEE 30TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (MIEL) | 2017年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we used artificial neural networks for classification of nonlinear loads. The special attention is payed to this kind of loads since they are the most difficult to register using existing monitoring methods. Carefully chosen parameters are first measured and calculated, and these Values are then used as a training set for a neural network. We also considered situations when different processes are run on a PC, and we showed that this does not influence our method, since it works properly in these situations also.

引用

页码：221 / 224

页数：4

共 7 条

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