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Abstract
The estimation of electric power utilization, its baseload, and its heating, light, ventilation, and air-conditioning (HVAC) power component, which represents a very large portion of electricity usage in commercial facilities, are important for energy consumption controls and planning. Non-intrusive load monitoring (NILM) is the analytical method used to monitor the energy and disaggregate total electrical usage into appliance-related signals as an alternative to installing multiple electricity meters in the building. However, despite considerable progress, there are a limited number of tools dedicated to the problem of reliable and complete energy disaggregation. This paper presents an experiment consisting in designing an electrical system with electrical energy receivers, and then starting NILM disaggregation using machine learning algorithms (MLA). The quality of this disaggregation was assessed using dedicated indicators. Subsequently, the quality of these MLA was also verified using the available BLUED data source. The results show that the proposed method guarantees non-intrusive load disaggregation but still requires further research and testing. Measurement data have been published as open research data and listed in the literature section repository.
Citations
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2
CrossRef
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0
Web of Science
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2
Scopus
Authors (3)
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Bartłomiej Gawin
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Robert Rink mgr inż.
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/en16052275
- License
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Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
ENERGIES
no. 16,
ISSN: 1996-1073 - Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Gawin B., Małkowski R., Rink R.: Will NILM Technology Replace Multi-Meter Telemetry Systems for Monitoring Electricity Consumption?// ENERGIES -,iss. 5 (2023), s.2275-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/en16052275
- Sources of funding:
-
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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