Learning-Based Non-Intrusive Electric Load Monitoring for Smart Energy Management
Nian He,
Dengfeng Liu,
Zhichen Zhang
et al.
Abstract:State-of-the-art smart cities have been calling for economic but efficient energy management over a large-scale network, especially for the electric power system. It is a critical issue to monitor, analyze, and control electric loads of all users in the system. In this study, a non-intrusive load monitoring method was designed for smart power management using computer vision techniques popular in artificial intelligence. First of all, one-dimensional current signals are mapped onto two-dimensional color featur… Show more
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