Non-intrusive Load Decomposition Model Based on Deep Fusion of Multi-modal Integration

Non-intrusive Load Decomposition Model Based on Deep Fusion of Multi-modal Integration

In order to address the problems that the current non-intrusive load decomposition model based on deep learning has limited ability to model the time-dependence of long-time power consumption information, and load decomposition using the same decomposition model for devices with different load chara...

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Bibliographic Details
Main Authors: YAO Gang, WANG Yun, WANG Yuanliang, SONG Zihao
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2023-02-01
Series:Kongzhi Yu Xinxi Jishu
Subjects:
load decomposition
non-intrusive load monitoring (NILM)
energy saving and emission reduction
temporal pattern attention (TPA)
convolutional neural network (CNN)
support vector regression (SVR)
Kalman filter
Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.01.001
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