Modeling of Energy Efficiency for Residential Buildings Using Artificial Neuronal Networks

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Description</td><td class="align_center">Quantity</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Single family home</td><td class="align_center">124</td></tr><tr><td class="align_left">Block housing</td><td class="align_center">292</td></tr><tr><td class="align_left">Complete residential block (residential building)</td><td class="align_center">4</td></tr><tr><td class="align_left">Commercial building (shopping centers)</td><td class="align_center">10</td></tr><tr><td class="align_left">Public building (administrative and teaching buildings)</td><td class="align_center">11</td></tr><tr><td class="align_left">Residential group (hotels)</td><td class="align_center">9</td></tr><tr><td class="align_left">Hospital center (hospitals and health centers)</td><td class="align_center">3</td></tr><tr><td class="align_left">Total</td><td class="align_center">453</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Buildings dataset by destined use.</div>

Advances in Civil Engineering

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Table 1

Table 1: Modeling of Energy Efficiency for Residential Buildings Using Artificial Neuronal Networks 