Modeling of Energy Demand of a High-Tech Greenhouse in Warm Climate Based on Bayesian Networks

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">  Systems </td><td align="center"> Energy demand (KW)</td></tr><tr><td align="center" colspan="2"><hr/></td></tr><tr><td align="left">Motors AC (ventilation) </td><td align="center"> 0.38 </td></tr><tr><td align="left">Pump for heating </td><td align="center"> 1.86 </td></tr><tr><td align="left">Blower (enrich system of CO<sub>2</sub>) </td><td align="center"> 1.8 </td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Maximum energy demand from the main systems.

Mathematical Problems in Engineering

tab2

Table 2

Table 2: Modeling of Energy Demand of a High-Tech Greenhouse in Warm Climate Based on Bayesian Networks 