Non-intrusive household load identification technology can guide reasonable arrangement of household users

improve energy efficiency

and provide domestic electric data support to the power sector

which is conducive to understand the load electricity law and trends for improving power planning. As steady-state characteristic values of electric load for home users are similar and irregular

most existing methods need to use advanced algorithms to train all the combinations of electrical load. Faced with the existing problems with the steady load characteristic value method and considering the unique characteristics and the superposition of steady-state waveform of domestic load

a method based on the dynamic time warping(DTW)algorithm and template library waveform is proposed to identify the household load. First of all

a template library of steady-state waveform is established. Then

under certain voltage conditions

the current steady-state waveform is measured. Finally

the DTW algorithm is used to calculate the minimum distance for identification.