Forecasting Primary Energy Requirements of Territories by Autoregressive Integrated Moving Average and Backpropagation Neural Network Models

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Sequence</td><td class="align_center">Probability</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Zero order</td><td class="align_center">0.956</td></tr><tr><td class="align_left">First order</td><td class="align_center">0.012</td></tr><tr><td class="align_left">Second order</td><td class="align_center">0.032</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Probability of each sequence (the agricultural city).</div>

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Forecasting Primary Energy Requirements of Territories by Autoregressive Integrated Moving Average and Backpropagation Neural Network Models 

Table 4 | Forecasting Primary Energy Requirements of Territories by Autoregressive Integrated Moving Average and Backpropagation Neural Network Models 