An Implementation Framework Overview of Non-Intrusive Load Monitoring

被引:1
|
作者
Al-Khadher, Omar [1 ]
Mukhtaruddin, Azharudin [1 ]
Hashim, Fakroul Ridzuan [1 ]
Azizan, Muhammad Mokhzaini [2 ]
Mamat, Hussin [3 ]
机构
[1] Univ Pertahanan Nasl Malaysia, Fac Engn, Kuala Lumpur 57000, Malaysia
[2] Univ Sains Islam Malaysia, Fac Engn & Built Environm, Negeri Sembilan 71800, Malaysia
[3] Univ Sains Malaysia, Sch Aerosp Engn, George Town 11800, Malaysia
关键词
Energy efficiency; Load monitoring (LM); Non-intrusive load monitoring (NILM); Data collection; Event detection; Features extraction; Load classification; Machine learning; ENERGY MANAGEMENT; DISAGGREGATION; POWER; IDENTIFICATION; CONSUMPTION; DEMAND; MODELS;
D O I
10.13044/j.sdewes.d11.0471
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The implementation of non-intrusive load monitoring has gained significant attention as a promising solution for disaggregating and identifying individual appliances' energy consumption within households and commercial buildings. The issue at the core of non-intrusive load monitoring is the accurate separation of the aggregated energy consumption signal into the energy contributions of distinct appliances without requiring additional sensors or invasive measurements. The erroneous implementation of non-intrusive load monitoring model leads to poor results and a waste of time where the criteria for the implementation are necessary. This paper presents an overview of non-intrusive load monitoring's implementation, addressing the stages of non-intrusive load monitoring and advancements in the field. The overview explores the various techniques, methodologies, and algorithms employed in non-intrusive load monitoring systems to achieve load identification and energy disaggregation. By addressing the problem statement and reviewing the state of the art, this paper sets the stage for understanding the significance of non-intrusive load monitoring in commercial buildings and modern energy-efficient households. Moreover, the limitations, applications, and recommended criteria for the implementation of non-intrusive load monitoring are highlighted as a contribution to the field of load disaggregation. Future research should address scalability, privacy concerns, and the integration of non-intrusive load monitoring with smart grids to propel energy disaggregation towards more efficient, accessible, and sustainable energy management systems. We envision that this endeavour can serve as a guiding beacon, offering a roadmap for researchers and professionals.
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页数:40
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