Table 8 MAPE and RMSE results by periods, for overall forecasting accuracy
From: Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data
Evaluated period | MAPE (overall) [%] / RMSE (overall) | |||
|---|---|---|---|---|
SLP | LSTM | LSTM SM | LSTM SM XGB | |
01.01–30.01. | 24.85 / 3.52 | 19.63 / 3.70 | 18.25 / 3.27 | 17.98 / 3.23 |
31.01.–01.03. | 25.64 / 3.87 | 19.42 / 3.20 | 25.35 / 3.87 | 25.04 / 3.83 |
02.03.–31.03. | 24.05 / 3.94 | 17.82 / 2.79 | 11.18 / 2.14 | 11.04 / 2.11 |
01.04.–30.04. | 24.95 / 3.97 | 25.63 / 3.00 | 19.40 / 2.83 | 19.13 / 2.79 |
01.05.–30.05. | 28.03 / 4.71 | 24.81 / 2.84 | 23.57 / 2.79 | 23.61 / 2.79 |
31.05.–29.06. | 27.53 / 4.78 | 28.50 / 3.33 | 10.71 / 1.60 | 10.70 / 1.59 |
30.06.–29.07. | 27.76 / 4.81 | 16.69 / 1.96 | 11.00 / 1.41 | 11.15 / 1.43 |
30.07.–28.08. | 27.01 / 4.87 | 23.68 / 2.60 | 20.41 / 2.35 | 20.39 / 2.35 |
29.08.–27.09. | 28.64 / 4.90 | 21.61 / 2.68 | 17.36 / 2.06 | 17.40 / 2.06 |
28.09.–27.10. | 27.19 / 4.46 | 16.89 / 2.19 | 11.29 / 1.73 | 11.20 / 1.71 |
28.10.–26.11. | 21.50 / 3.21 | 17.38 / 2.52 | 15.39 / 2.74 | 14.99 / 2.67 |
27.11.–26.12. | 26.20 / 3.71 | 27.63 / 4.13 | 19.52 / 3.36 | 19.16 / 3.30 |
Average | 26.11 / 4.23 | 21.64 / 2.91 | 16.95 / 2.51 | 16.81 / 2.49 |