Providing an Expert System to Manage Energy Consumption in Small- and Medium-Sized Industries Using Soft Computing

<table class="table-group" id="tab16"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Response</td><td class="align_center">Year</td><td class="align_center">Observation</td><td class="align_center">Mean</td><td class="align_center">Std. deviation</td><td class="align_center">Std. error mean</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left" rowspan="2">Amount of additional production (MWh)</td><td class="align_center">97.00</td><td class="align_center">62</td><td class="align_center">22.4839</td><td class="align_center">13.86675</td><td class="align_center">1.76108</td></tr><tr><td class="align_center">98.00</td><td class="align_center">62</td><td class="align_center">9.0806</td><td class="align_center">4.68096</td><td class="align_center">0.59448</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>SPSS software outputs regarding the different tests of the average amount of overproduction.</div>

Complexity

tab16

Table 16

Table 16: Providing an Expert System to Manage Energy Consumption in Small- and Medium-Sized Industries Using Soft Computing 