Assessment of Three Learning Machines for Long-Term Prediction of Wind Energy in Palestine

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">City/Parameter</td><td class="align_center">Scale parameter</td><td class="align_center">Shape parameter</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Nablus</td><td class="align_center">2.40</td><td class="align_center">1.894</td></tr><tr><td class="align_left">Ramallah</td><td class="align_center">2.36</td><td class="align_center">1.924</td></tr><tr><td class="align_left">Jenin</td><td class="align_center">2.92</td><td class="align_center">2.243</td></tr><tr><td class="align_left">Hebron</td><td class="align_center">3.08</td><td class="align_center">1.827</td></tr><tr><td class="align_left">Jericho</td><td class="align_center">3.67</td><td class="align_center">2.129</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Weibull parameters for selected cities.</div>

Mathematical Problems in Engineering

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Table 1

Table 1: Assessment of Three Learning Machines for Long-Term Prediction of Wind Energy in Palestine 