On performance evaluation and machine learning approaches in non-intrusive load monitoring
Abstract Non-Intrusive Load Monitoring (NILM) is a set of techniques to gain deep insights into workflows inside buildings based on data provided by smart meters. In this way, the combined consumption needs only to be monitored at a single, central point in the household, providing advantages such a...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-10-01
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| Series: | Energy Informatics |
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| Online Access: | http://link.springer.com/article/10.1186/s42162-018-0051-1 |