An intelligent non-intrusive load monitoring model based on power encoding and convolutional state modules
Weiyue Xu,
Chengqi Jiang,
Qihang Zhang
et al.
Abstract:Non-Intrusive Load Monitoring (NILM) identifies device power consumption or on/off states solely based on total power data, which is highly valuable for consumers to understand their appliance usage behavior and take necessary measures to reduce energy consumption, especially for the benefit of energy consumers' living production. However, a challenge faced by NILM is the tendency to focus excessively on power disaggregation while neglecting the disaggregation of on/off states, leading to lower classification … Show more
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