NILM-based approach for energy efficiency assessment of household appliances
Abstract This paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances. This approach (NILMEE) is able to identify the individual consumption of several household devices, providing proper information for evaluat...
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Online Access: | http://link.springer.com/article/10.1186/s42162-020-00131-7 |
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doaj-ea81e14682f64487b7d4fd77662babdd2020-11-25T04:08:39ZengSpringerOpenEnergy Informatics2520-89422020-10-013112110.1186/s42162-020-00131-7NILM-based approach for energy efficiency assessment of household appliancesFernando D. Garcia0Wesley A. Souza1Ivando S. Diniz2Fernando P. Marafão3São Paulo State University (Unesp), Institute of Science and TechnologyDepartment of Computer Science, Federal University of São CarlosSão Paulo State University (Unesp), Institute of Science and TechnologySão Paulo State University (Unesp), Institute of Science and TechnologyAbstract This paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances. This approach (NILMEE) is able to identify the individual consumption of several household devices, providing proper information for evaluating energy efficiency and pointing out the operational issues or labelling mismatches of appliances, while recommending better practices for energy usage in specific consumer installations. The proposed approach was developed and evaluated by embedding the NILM engine on an electronic power meter, which performs a microscopic analysis on measured voltages and currents and provides the load disaggregation using the Conservative Power Theory for the feature extraction, K-Nearest Neighbours for the appliance classification, and the Power Signature Blob for the energy disaggregation. The disaggregation algorithm performance evaluation is carried out using NILMTK. Results show that NILM transcends the regular energy usage calculation, serving as a tool that enables the diagnosis of household appliances using the energy efficiency indexes provided by labels and standards.http://link.springer.com/article/10.1186/s42162-020-00131-7Load disaggregationEnergy managementEnergy efficiencySmart meterNon-intrusive load monitoring |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fernando D. Garcia Wesley A. Souza Ivando S. Diniz Fernando P. Marafão |
spellingShingle |
Fernando D. Garcia Wesley A. Souza Ivando S. Diniz Fernando P. Marafão NILM-based approach for energy efficiency assessment of household appliances Energy Informatics Load disaggregation Energy management Energy efficiency Smart meter Non-intrusive load monitoring |
author_facet |
Fernando D. Garcia Wesley A. Souza Ivando S. Diniz Fernando P. Marafão |
author_sort |
Fernando D. Garcia |
title |
NILM-based approach for energy efficiency assessment of household appliances |
title_short |
NILM-based approach for energy efficiency assessment of household appliances |
title_full |
NILM-based approach for energy efficiency assessment of household appliances |
title_fullStr |
NILM-based approach for energy efficiency assessment of household appliances |
title_full_unstemmed |
NILM-based approach for energy efficiency assessment of household appliances |
title_sort |
nilm-based approach for energy efficiency assessment of household appliances |
publisher |
SpringerOpen |
series |
Energy Informatics |
issn |
2520-8942 |
publishDate |
2020-10-01 |
description |
Abstract This paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances. This approach (NILMEE) is able to identify the individual consumption of several household devices, providing proper information for evaluating energy efficiency and pointing out the operational issues or labelling mismatches of appliances, while recommending better practices for energy usage in specific consumer installations. The proposed approach was developed and evaluated by embedding the NILM engine on an electronic power meter, which performs a microscopic analysis on measured voltages and currents and provides the load disaggregation using the Conservative Power Theory for the feature extraction, K-Nearest Neighbours for the appliance classification, and the Power Signature Blob for the energy disaggregation. The disaggregation algorithm performance evaluation is carried out using NILMTK. Results show that NILM transcends the regular energy usage calculation, serving as a tool that enables the diagnosis of household appliances using the energy efficiency indexes provided by labels and standards. |
topic |
Load disaggregation Energy management Energy efficiency Smart meter Non-intrusive load monitoring |
url |
http://link.springer.com/article/10.1186/s42162-020-00131-7 |
work_keys_str_mv |
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