Detecting Anomalies in Meteorological Data Using Support Vector Regression

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Representation</td><td class="align_center">RMSE</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Degree</td><td class="align_center">92.17</td></tr><tr><td class="align_left">Vector</td><td class="align_center"><b>68.28</b></td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Accuracy of estimates according to wind direction representation (RMSE).</div>

Advances in Meteorology

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Table 6

Table 6: Detecting Anomalies in Meteorological Data Using Support Vector Regression 