Multi-Agent-Based Unsupervised Detection of Energy Consumption Anomalies on Smart Campus
The smart campus is becoming a reality with the advancement of information and communication technologies. For energy efficiency, it is essential to detect abnormal energy consumption in a smart campus, which is important for a “smart” campus. However, the obtained data are usu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8574884/ |