Smart Optimization of Semiconductors in Photovoltaic-Thermoelectric Systems Using Recurrent Neural Networks

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">S/N</td><td class="align_center">Unoptimized</td><td class="align_center">Optimized</td><td class="align_center">Percentage enhancement</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Power (W)</td><td class="align_center">0.26</td><td class="align_center">0.32</td><td class="align_center">23.1%</td></tr><tr><td class="align_left">Efficiency (%)</td><td class="align_center">14.68</td><td class="align_center">17.62</td><td class="align_center">20%</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance gains obtained from optimization.</div>

International Journal of Energy Research

tab4

Table 4

Table 4: Smart Optimization of Semiconductors in Photovoltaic-Thermoelectric Systems Using Recurrent Neural Networks 