Non Intrusive Load Monitoring Based on Squeezenet-CBAM Model
Author:
Affiliation:
1. Electronics Zhejiang University,School of Micro-Nano,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10502394/10502376/10502956.pdf?arnumber=10502956
Reference21 articles.
1. VI-Based Appliance Classification Using Aggregated Power Consumption Data
2. Implementation Strategy of Convolution Neural Networks on Field Programmable Gate Arrays for Appliance Classification Using the Voltage and Current (V-I) Trajectory
3. Transferability of Neural Network Approaches for Low-rate Energy Disaggregation
4. Non-Intrusive Signature Extraction for Major Residential Loads
5. Support vector machine based methods for non-intrusive identification of miscellaneous electric loads
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