Non-intrusive load monitoring and its challenges in a NILM system framework

Liu, Qi; Lu, Min; Liu, Xiaodong; Linge, Nigel

Abstract

With the increasing of energy demand and electricity price, researchers gain more and more interest among the residential load monitoring. In order to feed back the individual appliance’s energy consumption instead of the whole-house energy consumption, non-intrusive load monitoring (NILM) is a good choice for residents to respond the time-of-use price and achieve electricity saving. In this paper, we discuss the system framework of NILM and analyse the challenges in every module. Besides, we study and compare the public datasets and accuracy metrics of non-intrusive load monitoring techniques.

Citation

Liu, Q., Lu, M., Liu, X., & Linge, N. (2019). Non-intrusive load monitoring and its challenges in a NILM system framework. International Journal of High Performance Computing and Networking, 14(1), 102-111. https://doi.org/10.1504/IJHPCN.2019.099748

• Journal Article Type: Article
• Acceptance Date: Feb 3, 2017
• Online Publication Date: May 8, 2019
• Publication Date: 2019-05
• Deposit Date: Dec 18, 2018
• Publicly Available Date: May 9, 2020
• Journal: International Journal of High Performance Computing and Networking
• Print ISSN: 1740-0562
• Electronic ISSN: 1740-0570
• Publisher: Inderscience
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 1
• Pages: 102-111
• DOI: https://doi.org/10.1504/IJHPCN.2019.099748
• Keywords: non-intrusive load monitoring; NILM; data acquisition; event detection; feature extraction; load disaggregation
• Public URL: http://researchrepository.napier.ac.uk/Output/1447592
• Publisher URL: http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=IJHPCN
• Contract Date: Dec 18, 2018