Non-invasive load identification based on LSTM-BP neural network

Non-invasive load identification based on LSTM-BP neural network

Smart power consumption is an important part of ubiquitous power Internet of things. Load identification, as an important part of smart power consumption, is of great significance to users and power grid. Aiming at the problems of long training time and low recognition accuracy in existing algorithm...

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Bibliographic Details
Main Authors: Liang Huang, Shijie Chen, Zaixun Ling, Yibo Cui, Qiong Wang
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Energy Reports
Subjects:
Load identification
PCA
LSTM-BP
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472100041X

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http://www.sciencedirect.com/science/article/pii/S235248472100041X

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