A Novel Feature Extraction Method for Nonintrusive Appliance Load Monitoring

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">  Load </td><td align="center"><svg height="8.125" id="M104" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 8.3374996 8.125" width="8.3374996" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> [s] </td><td align="center"><svg height="16.3125" id="M105" style="vertical-align:-3.56265pt" version="1.1" viewbox="0 0 9.7250004 16.3125" width="9.7250004" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> [rad] </td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Series RC </td><td align="center"><span style="width: 23.049999px;"><svg height="11.75" id="M106" style="vertical-align:-0.23206pt" version="1.1" viewbox="0 0 23.049999 11.75" width="23.049999" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg></span></td></tr><tr><td align="left">Series RL </td><td align="center"><span style="width: 14.0625px;"><svg height="34.412498" id="M108" style="vertical-align:-9.75989pt" version="1.1" viewbox="0 0 14.0625 34.412498" width="14.0625" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,2.175,11.112)"><path d="M559 163q-23 -66 -68 -163h-474l6 26q62 4 79.5 19.5t28.5 75.5l78 409q7 35 8.5 49t-8 25t-24 13t-51.5 5l5 28h266l-6 -28q-65 -5 -79.5 -18t-25.5 -74l-76 -406q-10 -57 14 -75q12 -13 96 -13q93 0 126 29q41 40 76 109z" id="x1D43F"></path></g>
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</svg></span></td></tr><tr><td align="left">Parallel RL </td><td align="center"> — </td><td align="center"><span style="width: 91.275002px;"><svg height="34.474998" id="M110" style="vertical-align:-9.81448pt" version="1.1" viewbox="0 0 91.275002 34.474998" width="91.275002" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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Dependent parameters of first-order circuits.

Applied Computational Intelligence and Soft Computing

tab6

Table 6

Table 6: A Novel Feature Extraction Method for Nonintrusive Appliance Load Monitoring 