MC-NILM: A Multi-Chain Disaggregation Method for NILM
Non-intrusive load monitoring (NILM) is an approach that helps residents obtain detailed information about household electricity consumption and has gradually become a research focus in recent years. Most of the existing algorithms on NILM build energy disaggregation models independently for an indi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/14/4331 |
| _version_ | 1797527191353819136 |
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| author | Hao Ma Juncheng Jia Xinhao Yang Weipeng Zhu Hong Zhang |
| author_facet | Hao Ma Juncheng Jia Xinhao Yang Weipeng Zhu Hong Zhang |
| author_sort | Hao Ma |
| collection | DOAJ |
| description | Non-intrusive load monitoring (NILM) is an approach that helps residents obtain detailed information about household electricity consumption and has gradually become a research focus in recent years. Most of the existing algorithms on NILM build energy disaggregation models independently for an individual appliance while neglecting the relation among them. For this situation, this article proposes a multi-chain disaggregation method for NILM (MC-NILM). MC-NILM integrates the models generated by existing algorithms and considers the relation among these models to improve the performance of energy disaggregation. Given the high time complexity of searching for the optimal MC-NILM structure, this article proposes two methods to reduce the time complexity, the <i>k</i>-length chain method and the graph-based chain generation method. Finally, we use the Dataport and UK-DALE datasets to evaluate the feasibility, effectiveness, and generality of the MC-NILM. |
| first_indexed | 2024-03-10T09:40:31Z |
| format | Article |
| id | doaj.art-bf8f201082f448c8b9c0d051bcdfc804 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T09:40:31Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-bf8f201082f448c8b9c0d051bcdfc8042023-11-22T03:43:48ZengMDPI AGEnergies1996-10732021-07-011414433110.3390/en14144331MC-NILM: A Multi-Chain Disaggregation Method for NILMHao Ma0Juncheng Jia1Xinhao Yang2Weipeng Zhu3Hong Zhang4School of Computer Science and Technology, Soochow University, Suzhou 215006, ChinaSchool of Computer Science and Technology, Soochow University, Suzhou 215006, ChinaSchool of Mechanical and Electrical Engineering, Soochow University, Suzhou 215137, ChinaSchool of Computer Science and Technology, Soochow University, Suzhou 215006, ChinaSchool of Computer Science and Technology, Soochow University, Suzhou 215006, ChinaNon-intrusive load monitoring (NILM) is an approach that helps residents obtain detailed information about household electricity consumption and has gradually become a research focus in recent years. Most of the existing algorithms on NILM build energy disaggregation models independently for an individual appliance while neglecting the relation among them. For this situation, this article proposes a multi-chain disaggregation method for NILM (MC-NILM). MC-NILM integrates the models generated by existing algorithms and considers the relation among these models to improve the performance of energy disaggregation. Given the high time complexity of searching for the optimal MC-NILM structure, this article proposes two methods to reduce the time complexity, the <i>k</i>-length chain method and the graph-based chain generation method. Finally, we use the Dataport and UK-DALE datasets to evaluate the feasibility, effectiveness, and generality of the MC-NILM.https://www.mdpi.com/1996-1073/14/14/4331non-intrusive load monitoring (NILM)energy disaggregationmulti-chain disaggregationmachine learning |
| spellingShingle | Hao Ma Juncheng Jia Xinhao Yang Weipeng Zhu Hong Zhang MC-NILM: A Multi-Chain Disaggregation Method for NILM Energies non-intrusive load monitoring (NILM) energy disaggregation multi-chain disaggregation machine learning |
| title | MC-NILM: A Multi-Chain Disaggregation Method for NILM |
| title_full | MC-NILM: A Multi-Chain Disaggregation Method for NILM |
| title_fullStr | MC-NILM: A Multi-Chain Disaggregation Method for NILM |
| title_full_unstemmed | MC-NILM: A Multi-Chain Disaggregation Method for NILM |
| title_short | MC-NILM: A Multi-Chain Disaggregation Method for NILM |
| title_sort | mc nilm a multi chain disaggregation method for nilm |
| topic | non-intrusive load monitoring (NILM) energy disaggregation multi-chain disaggregation machine learning |
| url | https://www.mdpi.com/1996-1073/14/14/4331 |
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