Unsupervised Anomaly Detection for Energy Consumption in Time Series using Clustering Approach
Recent years have seen significant growth in the adoption of smart home devices. It involves a Smart Home System for better visualisation and analysis with time series. However, there are a few challenges faced by the system developers, such as data quality or data anomaly issues. These anomalies ca...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ital Publication
2021-12-01
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| Series: | Emerging Science Journal |
| Subjects: | |
| Online Access: | https://www.ijournalse.org/index.php/ESJ/article/view/577 |