Comparative Research between Several Lightweight CNN Models for Non-intrusive Load Monitoring Using Transfer Learning Approach

2022 International Conference on Big Data, Information and Computer Network (BDICN)(2022)

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摘要
V-I trajectory is widely used as load signatures in non-intrusive load monitoring (NILM) problems. This paper proposes a simple but efficient method to obtain RGB V-I trajectory, using the time derivatives of instantaneous reactive current and voltage to map gray V-I trajectory to RGB space. With two kinds of V-I trajectory as load signatures, i.e., the greyscale and the RGB respectively, comparat...
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关键词
Transfer Learning,Lightweight neutral networks,CNN,Non-intrusive load monitoring,V-I trajectory
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