Research on Anomaly Detection Model for Power Consumption Data Based on Time-Series Reconstruction
The power consumption data in buildings can be viewed as a time series, where outliers indicate unreasonable energy usage patterns. Accurately detecting these outliers and improving energy management methods based on the findings can lead to energy savings. To detect outliers, an anomaly detection m...
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Published in | Energies (Basel) Vol. 17; no. 19; p. 4810 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
26.09.2024
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Online Access | Get full text |
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