Non-Intrusive Load Monitoring Based on Residual U-Net and Conditional Generation Adversarial Networks
Author:
Affiliation:
1. School of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai, China
2. Academy for Engineering and Technology, Fudan University, Shanghai, China
3. ZTE Corporation, Shenzhen, China
Funder
State Grid Corporation of China Science and Technology Project “Research on Service Driven Planning Method and Key Technologies of Electric Sensor Network”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10174628.pdf?arnumber=10174628
Reference36 articles.
1. Non-Intrusive Load Monitoring by Novel Neuro-Fuzzy Classification Considering Uncertainties
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5. Incorporating Appliance Usage Patterns for Non-Intrusive Load Monitoring and Load Forecasting
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