Non-intrusive load decomposition based on CNN–LSTM hybrid deep learning model

Non-intrusive load decomposition based on CNN–LSTM hybrid deep learning model

With the rapid development of science and technology, the problem of energy load monitoring and decomposition of electrical equipment has been receiving widespread attention from academia and industry. For the purpose of improving the performance of non-intrusive load decomposition, a non-intrusive...

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Bibliographic Details
Main Authors: Xinxin Zhou, Jingru Feng, Yang Li
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Energy Reports
Subjects:
Non-intrusive load decomposition
Convolutional neural network
Long short-term memory network
Hybrid deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721008064

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http://www.sciencedirect.com/science/article/pii/S2352484721008064

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