Affiliation:
1. Centre d’Excellence Régional pour la Maitrise de l’Électricité (CERME), University of Lome, Lome 01 BP 1515, Togo
2. Solar Energy Laboratory, Department of Physics, Faculty of Science, University of Lome, Lome 01 BP 1515, Togo
Abstract
Without an appropriate monitoring system, the condition/state of electrical appliances/devices in operation in households cannot be fully assessed, resulting in uncontrolled expenses. The purpose of load monitoring techniques is to save electricity consumption. With proper controls, overconsumption of energy can be reduced and unwanted activity that can lead to unnecessary electricity consumption can be eliminated. To achieve this, two approaches are used. The first approach, which says that each device is monitored by means of individual meters or metering devices, is called intrusive load monitoring (ILM) and requires expensive deployment of metering devices for its use. In contrast to the first one, the second approach is non-intrusive load monitoring (NILM), which monitors electricity consumption without the need for any intrusion. In this configuration, the total energy consumed is disaggregated into the individual consumption of each load. With progress/advances in artificial intelligence, this approach is gaining interest with influences in other areas of research. Knowing that these developed techniques aim to encourage the occupants of dwellings to save energy by optimizing their electricity consumption, the paper presents a comparative study of these approaches, in order to highlight the strengths as well as the weaknesses of each of them. It is therefore a means of offering researchers the opportunity to make choices according to the orientations given to the research work.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference62 articles.
1. Achieving better energy-efficient air conditioning—A review of technologies and strategies;Chua;Appl. Energy,2013
2. (2022, October 29). Annual Energy Review, Available online: https://www.eia.gov/consumption/.
3. (2022, October 29). Average Annual Energy Consumption for Households, Available online: http://www.stats.gov.cn/tjsj/ndsj/2020/indexeh.htm.
4. Kitio, V. (2013, January 25–26). Promoting Energy Efficiency in Buildings in East Africa. Proceedings of the UNEP-SBCI Symposium, Paris, France.
5. Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System;Nguyen;ACM Trans. Sens. Netw.,2021
Cited by
1 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