Non-Intrusive Load Monitoring (NILM), Interests and Applications

Author:

TOKAM Leonce Wehnelt,OURO-DJOBO Sanoussi S.

Abstract

In developing effective energy management mechanisms, new concepts have been developed to provide new approaches. Non-intrusive load monitoring (NILM) is an approach that was originally developed to allow the occupants of a room to identify the contribution of each appliance to the total electricity consumption of the room through a single point measurement device. The aim is to provide customers with information that will enable them to act as ``  `  consum'actors", i.e., people who undertake to change their electricity consumption habits for an objective cause. The progress of artificial intelligence in its various forms (machine learning, big data, internet of things) have greatly contributed to increase the interest of NILM among researchers in different fields. Indeed, some of them are adapting this concept to research areas such as water, transport, health, the environment and agriculture. In this context, applications in these fields have been developed to show the potential and benefits of using this approach. In addition to presenting non-intrusive load monitoring (NILM) in its general framework, this article presents the interests and applications of this approach in various fields.

Publisher

Nigerian Society of Physical Sciences

Subject

General Physics and Astronomy,General Mathematics,General Chemistry

Cited by 3 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. Smart Homes, Smart Choices: Using Big Data to Boost Energy Efficiency and Environmental Sustainability;Electric Power Components and Systems;2024-04-17

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

3. Rule-based Self-supervised learning Non-Intrusive Load Monitoring system for residential houses;2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE);2023-12-02

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