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Non-Intrusive Load Monitoring

Published:2022-09-03 Issue:17 Volume:22 Page:6675
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Fortuna Luigi,Buscarino Arturo

Abstract

Non-Intrusive load monitoring (NILM) represents an emerging strategy based on the application of sevaral multidisciplinary topics [...]

Funder

Eurofusion

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/22/17/6675/pdf

Reference17 articles.

1. Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring

2. Deep Learning-Based Non-Intrusive Commercial Load Monitoring

3. Semi-Supervised Domain Adaptation for Multi-Label Classification on Nonintrusive Load Monitoring

4. A Bayesian Approach to Unsupervised, Non-Intrusive Load Disaggregation

5. Toward Robust Non-Intrusive Load Monitoring via Probability Model Framed Ensemble Method

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development and Application of an Open Power Meter Suitable for NILM;Inventions;2023-12-21

2. Variational Regression for Multi-Target Energy Disaggregation;Sensors;2023-02-11

3. An Improved High-Resistance Fault Detection Method in DC Microgrid Based on Orthogonal Wavelet Decomposition;Applied Sciences;2022-12-28

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