Nonintrusive Industrial Load Identification Combined with Random Forests and Steady-State Waveform

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Random forest</td><td class="align_center">Bayes</td><td class="align_center"><i>k</i>-adjacent</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Recognition rate (%)</td><td class="align_center">100</td><td class="align_center">63.8</td><td class="align_center">100</td></tr><tr><td class="align_left">Running time (s)</td><td class="align_center">3.36</td><td class="align_center">6.15</td><td class="align_center">34.43</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of identification results of different models.</div>

Journal of Electrical and Computer Engineering

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Table 3

Table 3: Nonintrusive Industrial Load Identification Combined with Random Forests and Steady-State Waveform 