A Machine-Learning Based Nonintrusive Smart Home Appliance Status Recognition

Pseudocode 1

The disaggregation task

(1)	Begin: obtain preprocessed, formatted, and transformed training input aggregate data of series length secs according to Figure 7
(2)	Obtain training target data of series length secs with redundancies removed
(3)	Train the network
(4)	Obtain preprocessed, formatted, and transformed validation/test input aggregate data of series length secs according to Figure 9
(5)	Specify disaggregation window,
(6)	Slide trained network input through validation/test aggregate data by amount equal to disaggregation window
(7)	Repeat 6, until end of validation/test aggregate data series length
(8)	Use mean method sum up all results of disaggregation window movement to obtain disaggregated signal of series length TTt secs
(9)	Input 7 into trained classification network for appliance recognition
(10)	Repeat 1 to 9, until performance ⟶ 100%