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

Leonce W. Tokam, S. Ouro-Djobo
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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.
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非侵入式负载监测(NILM),兴趣和应用
在发展有效的能源管理机制方面,已经发展了新的概念,提供了新的方法。非侵入式负载监测(NILM)是一种最初开发的方法,允许房间的居住者通过单点测量设备确定每个设备对房间总耗电量的贡献。其目的是向客户提供信息,使他们能够成为“消费者行为者”,即承诺为客观原因改变其用电习惯的人。各种形式的人工智能(机器学习、大数据、物联网)的进步极大地促进了不同领域研究人员对NILM的兴趣。事实上,他们中的一些人正在将这一概念应用于水、交通、卫生、环境和农业等研究领域。在这种情况下,已经开发了这些领域的应用程序,以显示使用这种方法的潜力和好处。除了介绍非侵入式负载监测(NILM)的一般框架外,本文还介绍了该方法在各个领域的兴趣和应用。
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