Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks-Reference-Cited by-同舟云学术

Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks

Published:2019-01 Issue: Volume:104 Page:645-653
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

De Baets Leen,Develder Chris,Dhaene Tom,Deschrijver Dirk

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference35 articles.

1. EU climate strategies & targets. https://ec.europa.eu/clima/policies/strategies/2030_en, accessed: 2017-04-12.

2. Advanced metering initiatives and residential feedback programs: a meta-review for household electricity-saving opportunities;Ehrhardt-Martinez,2010

3. Energy disaggregation analysis of a supermarket chain using a facility-model;Iyer;Energy Build,2015

4. Is disaggregation the holy grail of energy efficiency? The case of electricity;Armel;Energy Policy,2013

5. Faustine A, Mvungi NH, Kaijage S, Michael K. A survey on non-intrusive load monitoring methodies and techniques for energy disaggregation problem. arXiv preprint 1703.00785.

Cited by 93 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. Load Recognition With Few-Shot Transfer Learning Based on Meta-Learning and Relational Network in Non-Intrusive Load Monitoring;IEEE Transactions on Smart Grid;2024-09

2. Preliminary Unknown Appliance Detection Using Convolutional Variational Auto-Encoders for AAL;2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS);2024-07-29

3. AI Driven Streamlining of Appliance Load Monitoring in Facilities Management;2024 19th Annual System of Systems Engineering Conference (SoSE);2024-06-23

4. TELEWORKING MONITORING SYSTEM USING NILM AND K-NN ALGORITHMS: A STRATEGY FOR SUSTAINABLE SMART CITIES;International Journal on Integration of Knowledge;2024-06-05

5. A Stacking Ensemble Learning Method for Non-Intrusive Appliance Load Monitoring;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25