Load recognition method based on convolutional neural network and attention mechanism

Load recognition method based on convolutional neural network and attention mechanism

Non-intrusive load monitoring (NILM) of residential houses is an important research content of the user demand side of smart grids, and the energy consumption analysis and power consumption management of residential loads are key steps in achieving energy conservation, emission reduction, and sustai...

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Bibliographic Details
Main Authors: ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2025-01-01
Series:电力工程技术
Subjects:
non-intrusive load monitoring (nilm)
load identification
convolutional neural network (cnn)
squeeze-and-excitation network (senet)
attention mechanism
feature extraction
u-i trajectory
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/231229592
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