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 |