Publication: Energy Dissagregation on a Raspberry Pi...
Master data
Title: | Energy Dissagregation on a Raspberry Pi with YoMoPie-Extension |
Subtitle: | |
Abstract: | Non-intrusive load monitoring (NILM) is emerging as a crucial technique for providing detailed and effective energy feedback, thereby facilitating the development of low-cost and low-energy management systems in the residential sector. However, achieving acceptable disaggregation results requires sampling frequencies that exceed the 15-minute intervals of commercial smart meters. State-of-the-art approaches require a measurement frequency of at least 1Hz. While technically possible, measurement devices that can provide measurements at such intervals increase the cost of the overall system. In addition, consumers may raise privacy concerns regarding these systems. To address these issues, we propose a low-cost single-device smart meter that provides direct feedback based on a local processing of the user's data. The proposed system leverages the Raspberry Pi and the YoMoPie Monitor to provide an efficient, compact, and accurate system. The system's performance was tested in a laboratory setting under two different scenarios, and promising results were obtained considering the disaggregation performance and computational complexity. |
Keywords: | NILM, Smart Metering, Energy Awareness |
Publication type: | Article in Proceedings (Authorship) |
Publication date: | 18.12.2023 (Online) |
Published by: |
2023 2nd International Conference on Power Systems and Electrical Technology (PSET)
2023 2nd International Conference on Power Systems and Electrical Technology (PSET)
(2023)
(
IEEE;
)
to publication |
Title of the series: | - |
Volume number: | - |
First publication: | Yes |
Version: | - |
Page: | - |
Versionen
Keine Version vorhanden |
Publication date: | 18.12.2023 |
ISBN (e-book): |
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eISSN: | - |
DOI: | http://dx.doi.org/10.1109/PSET59452.2023.10346408 |
Homepage: | https://mobile.aau.at/publications/winkler-2023-Energy_Disaggregation_with_NILM_on_a_Raspberry_Pi_with_Smart-Metering_Extension.pdf |
Open access |
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Authors
Johannes Winkler (internal) |
Hafsa Bousbiat (internal) |
Stefan Jost (internal) |
Wilfried Elmenreich (internal) |
Assignment
Organisation | Address | ||||
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Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
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AT - 9020 Klagenfurt am Wörthersee |
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Peer reviewed |
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Projects: | No related projects |
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