Non-Invasive Load Identification Algorithm Based on Color Coding and Feature Fusion of Power and Current

Non-Invasive Load Identification Algorithm Based on Color Coding and Feature Fusion of Power and Current

In the traditional non-invasive load monitoring (NILM) algorithms, the identification accuracy is enhanced with the increased network scale while sacrificing the calculation speed, which restricts the efficiency of the load identification. In this study, a multi-feature (active/reactive power and cu...

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Bibliographic Details
Main Authors: Yuzhu Xiang, Yifan Ding, Qiang Luo, Puyu Wang, Qing Li, Haojie Liu, Kaijie Fang, Hanmiao Cheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Energy Research
Subjects:
non-invasive load monitoring (NILM)
feature fusion
color channel
color coding
convolutional neural network
true-color feature image
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.899669/full

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https://www.frontiersin.org/articles/10.3389/fenrg.2022.899669/full

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