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

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Principal component</td><td class="align_center">First PC</td><td class="align_center">Second PC</td><td class="align_center">Third PC</td><td class="align_center">Fourth PC</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Contribution rate</td><td class="align_center">0.9687</td><td class="align_center">0.0278</td><td class="align_center">0.0023</td><td class="align_center">0.0006</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

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Table 3

Table 3: A Hybrid Method for Ultrashort-Term Wind Power Prediction considering Meteorological Features and Seasonal Information 