A Comparison of Hour-Ahead Solar Irradiance Forecasting Models Based on LSTM Network

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Meteorological parameters</td><td class="align_center">Pearson’s <i>R</i> correlation coefficients</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Wind speed</td><td class="align_center">0.0053</td></tr><tr><td class="align_left">Atmospheric pressure</td><td class="align_center">0.0429</td></tr><tr><td class="align_left">Precipitation</td><td class="align_center">−0.0328</td></tr><tr><td class="align_left">Relative air humidity</td><td class="align_center">−0.3044</td></tr><tr><td class="align_left">Air temperature</td><td class="align_center">0.3745</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Pearson’s <i>R</i> correlation coefficients between meteorological parameters and solar irradiation.</div>

Mathematical Problems in Engineering

tab2

Table 2

Table 2: A Comparison of Hour-Ahead Solar Irradiance Forecasting Models Based on LSTM Network 