Rule-based Self-supervised learning Non-Intrusive Load Monitoring system for residential houses-Reference-Cited by-同舟云学术

Rule-based Self-supervised learning Non-Intrusive Load Monitoring system for residential houses

Published:2023-12-02 Issue: Volume: Page:1-6
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Container-title:2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)
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Author:

Madhushan Nimantha¹,Rathnayake Rasanjalee²,Udhyani Ashmini¹,Wijewardhana Uditha¹,Dharmaweera Nishan¹

Affiliation:

1. University of Sri Jayewardenepura,Dept. of Electrical & Electronic Eng,Nugegoda,Sri Lanka

2. University of Sri Jayewardenepura,Dept. of Computer Eng,Nugegoda,Sri Lanka

Funder

Ministry of Higher Education

Asian Development Bank

Publisher

IEEE

Link

Reference34 articles.

1. Today in Energy;Kahan

3. PerFedNILM: A Practical Personalized Federated Learning-based non-Intrusive Load Monitoring;Pan;ArXiv. /abs/2105.11085,2021

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2. Real-Time Non-Intrusive Load Monitoring System for Residential Appliance Identification;2024 4th International Conference on Advanced Research in Computing (ICARC);2024-02-21