Forecasting Crude Oil Consumption in China Using a Grey Prediction Model with an Optimal Fractional-Order Accumulating Operator

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left">Year</td><td class="align_center">2015</td><td class="align_center">2016</td><td class="align_center">2017</td><td class="align_center">2018</td><td class="align_center">2019</td><td class="align_center">2020</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Crude demand</td><td class="align_center">5.3802</td><td class="align_center">5.7047</td><td class="align_center">6.0492</td><td class="align_center">6.4149</td><td class="align_center">6.8031</td><td class="align_center">7.2151</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The predictive values of China’s crude demand (units: 100 million tons) during 2015–2020.</div>

Complexity

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Table 3

Table 3: Forecasting Crude Oil Consumption in China Using a Grey Prediction Model with an Optimal Fractional-Order Accumulating Operator 