Optimal Economic Modelling of Hybrid Combined Cooling, Heating, and Energy Storage System Based on Gravitational Search Algorithm-Random Forest Regression

<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">Operation mode</td><td class="align_center">Season</td><td class="align_center">Peak shaving and valley filling/kW.h</td><td class="align_center">Energy efficiency (%)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left" rowspan="2">With heat pumped</td><td class="align_center">Summer</td><td class="align_center">460</td><td class="align_center">88.2</td></tr><tr><td class="align_center">Winter</td><td class="align_center">369.5</td><td class="align_center">86.9</td></tr><tr><td class="align_left" rowspan="2">GSA-RFR</td><td class="align_center">Summer</td><td class="align_center">428.9</td><td class="align_center">93.2</td></tr><tr><td class="align_center">Winter</td><td class="align_center">343</td><td class="align_center">93</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Peak-shaving, valley-filling, and energy efficiency indicators under the two modes.</div>

Complexity

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Table 4

Table 4: Optimal Economic Modelling of Hybrid Combined Cooling, Heating, and Energy Storage System Based on Gravitational Search Algorithm-Random Forest Regression 

Table 4 | Optimal Economic Modelling of Hybrid Combined Cooling, Heating, and Energy Storage System Based on Gravitational Search Algorithm-Random Forest Regression 