A Hybrid Method for Ultrashort-Term Wind Power Prediction considering Meteorological Features and Seasonal Information

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left">Correlation</td><td class="align_center">Wind power</td><td class="align_center">Wind speed</td><td class="align_center">Wind direction</td><td class="align_center">Atmospheric pressure</td><td class="align_center">Temperature</td><td class="align_center">Humidity</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Wind power</td><td class="align_center">1.00</td><td class="align_center">0.62</td><td class="align_center">0.29</td><td class="align_center">0.21</td><td class="align_center">0.07</td><td class="align_center">0.01</td></tr><tr><td class="align_left">Wind speed</td><td class="align_center">0.62</td><td class="align_center">1.00</td><td class="align_center">0.19</td><td class="align_center">0.22</td><td class="align_center">0.26</td><td class="align_center">0.30</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Correlation coefficient between meteorological features and wind power.</div>

Mathematical Problems in Engineering

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Table 2

Table 2: A Hybrid Method for Ultrashort-Term Wind Power Prediction considering Meteorological Features and Seasonal Information 