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Energy management system based on wireless sensor networks and power line communications
University of Pretoria, Department of Electrical, Electronic and Computer Engineering, Pretoria, South Africa, 0082.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP). University of Pretoria, Department of Electrical, Electronic and Computer Engineering, Pretoria, South Africa, 0082.ORCID iD: 0000-0002-2763-8085
Machine Intelligence and Robotics University of Information Science and Technology 'St. Paul the Apostle', Faculty of Applied IT, Ohrid, North Macedonia.
2022 (English)In: 2022 International Conference Automatics and Informatics (ICAI), Institute of Electrical and Electronics Engineers (IEEE), 2022Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we developed a power line communication (PLC) system design, power measurement sensor design, light sensor design, temperature sensor design, and the integration of these components into an advanced sensor network to allow for energy metering and environment monitoring. A power measurement sensor was implemented through a current and voltage sensing circuitry was interfaced multi-plug power adapter to allow for non-invasive measurement of power usage of appliances. The sensors produce signals corresponding to the drawn voltage and current, which are then sampled and processed to estimate power usage. The PLC communications operated at an average accuracy of 95%. The power measurement sensor had an accuracy of 92%, which made it appropriate for home user estimations. The light sensor had an accuracy of between 91-97%, which was suitable for home lighting measurement.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mau:diva-56496DOI: 10.1109/icai55857.2022.9960097Scopus ID: 2-s2.0-85143752864ISBN: 978-1-6654-7625-6 (electronic)ISBN: 978-1-6654-7626-3 (print)OAI: oai:DiVA.org:mau-56496DiVA, id: diva2:1717134
Conference
2022 International Conference Automatics and Informatics (ICAI), 06-08 October 2022, Varna, Bulgaria
Available from: 2022-12-07 Created: 2022-12-07 Last updated: 2025-01-21Bibliographically approved

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Malekian, Reza

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