A method of appliance detection based on features of power waveform

Author:

Ito M.,Uda R.,Ichimura S.,Tago K.,Hoshi T.,Matsushita Y.

Publisher

IEEE Comput. Soc

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Electric current classification with tiny machine learning for home appliances;2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT);2022-06-07

2. Adaptive Load Identification Considering Effects of Harmonics and Voltage Variations;2021 22nd International Middle East Power Systems Conference (MEPCON);2021-12-14

3. A Supervised Learning Approach to Appliance Classification Based on Power Consumption Traces Analysis;IOP Conference Series: Materials Science and Engineering;2019-04-26

4. Overview of non-intrusive load monitoring and identification techniques;IFAC-PapersOnLine;2015

5. Behavior-Based Detection of Abnormal Power Consumption for Power Saving;Applied Mechanics and Materials;2013-02

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