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Table 9 MAPE results by periods, for accuracy of forecasted peaks

From: Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data

Evaluated MAPE (forecasted peak) [%]
Period SLP LSTM LSTM SM LSTM SM XGB
01.01–30.01. 33.71 22.86 14.64 9.22
31.01.–01.03. 33.91 20.04 10.36 10.2
02.03.–31.03. 38.99 14.75 17.02 12.27
01.04.–30.04. 43.61 13.19 13.62 11.45
01.05.–30.05. 68.92 25.7 26.99 23.24
31.05.–29.06. 69.35 37.44 9.61 10.11
30.06.–29.07. 71.47 19.48 13.80 19.04
30.07.–28.08. 82.33 36.48 31.64 27.42
29.08.–27.09. 72.80 36.32 22.98 18.99
28.09.–27.10. 60.94 18.05 12.61 9.72
28.10.–26.11. 33.02 12.97 20.54 10.09
27.11.–26.12. 30.87 11.44 22.03 11.52
Average 53.33 22.39 17.99 14.44
  1. Best values in respective rows highlighted in bold font and underlined