The Importance of Distance between Photovoltaic Power Stations for Clear Accuracy of Short-Term Photovoltaic Power Forecasting

<table class="table-group" id="tab11"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Metrics/Locations</td><td class="align_center">Rabat 60 kWp</td><td class="align_center">Rabat 2 kWp</td><td class="align_center">Casablanca 3 kWp</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">RMSE<sub>KNN</sub> (%)</td><td class="align_center">0</td><td class="align_center">0</td><td class="align_center">0</td></tr><tr><td class="align_left">RMSE<sub>PERSISTENCE</sub> (%)</td><td class="align_center">2.808</td><td class="align_center">31.010</td><td class="align_center">9.125</td></tr><tr><td class="align_left"><svg height="14.0813pt" id="M146" style="vertical-align:-5.4454pt" version="1.1" viewbox="-0.0498162 -8.6359 57.1114 14.0813" width="57.1114pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M600 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650H626L616 617C697 614 710 604 710 556C710 529 706 475 692 401L641 139H639L285 650H129L121 617C182 614 200 607 215 589C230 570 234 557 222 503L130 92C119 45 87 39 36 35L25 0H292L298 35C217 40 197 47 197 97C197 126 205 184 218 247L273 522H277L627 -8H665L741 401C755 476 771 531 779 555C793 596 807 616 872 617L882 650Z"></path></g></svg>(%)</td><td class="align_center">1</td><td class="align_center">1</td><td class="align_center">1</td></tr><tr><td class="align_left">MAE<sub><i>KNN</i></sub> (%)</td><td class="align_center">0</td><td class="align_center">0</td><td class="align_center">0</td></tr><tr><td class="align_left">MAE<sub>PERSISTENCE</sub> (%)</td><td class="align_center">2.224</td><td class="align_center">29.838</td><td class="align_center">6.717</td></tr><tr><td class="align_left"><svg height="14.0813pt" id="M147" style="vertical-align:-5.4454pt" version="1.1" viewbox="-0.0498162 -8.6359 54.3124 14.0813" width="54.3124pt" xmlns="http://www.w3.org/2000/svg" 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710 604 710 556C710 529 706 475 692 401L641 139H639L285 650H129L121 617C182 614 200 607 215 589C230 570 234 557 222 503L130 92C119 45 87 39 36 35L25 0H292L298 35C217 40 197 47 197 97C197 126 205 184 218 247L273 522H277L627 -8H665L741 401C755 476 771 531 779 555C793 596 807 616 872 617L882 650Z"></path></g><g transform="matrix(.0065,0,0,-0.0065,47.408,5.233)"><path d="M882 650H626L616 617C697 614 710 604 710 556C710 529 706 475 692 401L641 139H639L285 650H129L121 617C182 614 200 607 215 589C230 570 234 557 222 503L130 92C119 45 87 39 36 35L25 0H292L298 35C217 40 197 47 197 97C197 126 205 184 218 247L273 522H277L627 -8H665L741 401C755 476 771 531 779 555C793 596 807 616 872 617L882 650Z"></path></g></svg> (%)</td><td class="align_center">1</td><td class="align_center">1</td><td class="align_center">1</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Summary results of assessment of accuracy of KNN forecast model for each location.</div>

Journal of Electrical and Computer Engineering

tab11

Table 11

Table 11: The Importance of Distance between Photovoltaic Power Stations for Clear Accuracy of Short-Term Photovoltaic Power Forecasting 