Learning-Based Non-Intrusive Electric Load Monitoring for Smart Energy Management
Nian He,
Dengfeng Liu,
Zhichen Zhang
et al.
Abstract:The state-of-the-art smart city has been calling for an economic but efficient energy management over 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 system. In this paper, we employ the popular computer vision techniques of AI to design a non-intrusive load monitoring method for smart electric energy management. First of all, we utilize both signal transforms (including wavelet transform and discrete Fourier t… Show more
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