Transient Normalization for Appliance Classification, Disaggregation, and Power Estimation in Non-Intrusive Load Monitoring
AssigneeSamsung Electronics Co., Ltd.
InventorsSean D. Lai, Suman Giri
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AssigneeSamsung Electronics Co., Ltd.
InventorsSean D. Lai, Suman Giri
Estimating the term…
Various apparatuses and methods are provided for monitoring individual appliance energy consumption using non-intrusive load monitoring (NILM). For example, one method includes detecting an ON event and an OFF event within a segment of streaming power input and extracting the streaming power input associated with the ON event in response to detecting the ON event. The extracted streaming power input includes a waveform associated with the ON event recorded over a time frame. The method also includes normalizing the waveform to reveal one or more unique variations and classifying the normalized waveform based on the one or more unique variations. The method further includes matching the ON event with a correlating OFF event based at least on the classification of the normalized waveform and calculating power consumed from a time of the ON event to a time of the OFF event.
An apparatus for monitoring individual appliance energy consumption using non-intrusive load monitoring (NILM), the apparatus comprising:
A method for monitoring individual appliance energy consumption using non-intrusive load monitoring (NILM), the method comprising:
An apparatus for monitoring individual appliance energy consumption using non-intrusive load monitoring (NILM), the apparatus comprising:
A method for monitoring individual appliance energy consumption using non-intrusive load monitoring (NILM), the method comprising:
The method of claim 20, wherein classifying the third raw waveform comprises identifying a maximum value of a difference between the period of the sine wave and the single period of the raw waveform and comparing the maximum value with a threshold.
Dependencies are inferred from the claim text.