Enhancing Anomaly Detection in Critical Systems Using Household Appliance Power Consumption Data
Author:
Affiliation:
1. Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangalore, Karnataka, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/7361/10660640/10600120.pdf?arnumber=10600120
Reference35 articles.
1. A deep learning framework for building energy consumption forecast
2. A data mining-based framework for the identification of daily electricity usage patterns and anomaly detection in building electricity consumption data
3. Transfer learning for multi-objective non-intrusive load monitoring in smart building
4. Can non-intrusive load monitoring be used for identifying an appliance’s anomalous behaviour?
5. Appliance-Level Anomaly Detection in Nonintrusive Load Monitoring via Power Consumption-Based Feature Analysis
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