基于人工神经网络的非线性负荷监测与分类

2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) Pub Date : 2017-10-01 DOI:10.1109/TELSKS.2017.8246320

M. A. Stosovic, D. Stevanović, M. Dimitrijevic

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引用次数: 2

摘要

本文采用人工神经网络对电网中的非线性负荷进行识别，作为非侵入式负荷监测的一种方法。首先测量一组非线性负载的特定参数，然后使用神经网络来识别网络上哪个负载或一组负载是活跃的。通过一个示例，可以成功地完成负载识别任务。

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Monitoring and classification of nonlinear loads based on artificial neural networks

In this paper artificial neural networks are used for identification of nonlinear loads on the network, as one of the methods for non-intrusive load monitoring. Specific parameters of a group of the nonlinear loads are first measured, and then a neural network is used in order to identify which load, or group of loads, is active on the network. It is shown within an example that the task of loads identification can be done successfully.

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2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)

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