Non-intrusive load monitoring and its challenges in a NILM system framework. (8th May 2019)

• Record Type: Journal Article
• Authors: Liu, Qi; Lu, Min; Liu, Xiaodong; Linge, Nigel
• Is Part Of: International journal of high performance computing and networking. Volume 14:Number 1(2019)
• Page Start: 102
• Page End: 111
• Publication Date: 2019-05-08
• Subjects: non-intrusive load monitoring -- data acquisition -- event detection -- feature extraction -- load disaggregation; High performance computing -- Periodicals; Computer networks -- Periodicals; High performance computing; Periodicals; 004.05
• Languages: English
• ISSNs: 1740-0562

Abstract

With the increasing of energy demand and electricity price, researchers show more and more interest in 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 to 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.