Forecast of Short-Term Electricity Price Based on Data Analysis

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Threshold</td><td class="align_center">MAPE (%)</td><td class="align_center">RMSE</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">0.61</td><td class="align_center">10.79</td><td class="align_center">6.226</td></tr><tr><td class="align_left">0.62</td><td class="align_center">9.50</td><td class="align_center">5.7375</td></tr><tr><td class="align_left">0.63</td><td class="align_center">9.09</td><td class="align_center">5.5289</td></tr><tr><td class="align_left">0.64</td><td class="align_center">8.83</td><td class="align_center">5.4862</td></tr><tr><td class="align_left">0.65</td><td class="align_center">9.13</td><td class="align_center">5.6539</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Forecasting results based on DE-SVM under different thresholds.</div>

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Forecast of Short-Term Electricity Price Based on Data Analysis 