Non-Intrusive Load Monitoring Based on Unsupervised Optimization Enhanced Neural Network Deep Learning

Non-Intrusive Load Monitoring Based on Unsupervised Optimization Enhanced Neural Network Deep Learning

Non-intrusive load monitoring has broad application prospects because of its low implementation cost and little interference to energy users, which has been highly expected in the industrial field recently due to the development of learning algorithms. Targeting at the investigation of practical and...

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Bibliographic Details
Main Authors: Yu Liu, Jiarui Wang, Jiewen Deng, Wenquan Sheng, Pengxiang Tan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Energy Research
Subjects:
unsupervised learning
NILM
neural network
BP – back propagation algorithm
electricity consumption behavior analysis
k-means clustering
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.718916/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.718916/full

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