Research Article
The Combination Forecasting of Electricity Price Based on Price Spikes Processing: A Case Study in South Australia
Table 8
Comparison of forecasting models built using preprocessed data and original data.
| | Method | Preprocessed data | Original data | | MAPE (%) | RMSE ($/MWh) | MAE ($/MWh) | MAPE (%) | RMSE ($/MWh) | MAE ($/MWh) |
| | ARIMA | 20.05 | 10.62 | 7.93 | 37.01 | 13.32 | 10.82 | | BP | 25.32 | 9.88 | 7.81 | 29.00 | 9.04 | 7.71 | | Kalman | 21.01 | 7.81 | 6.04 | 26.27 | 9.03 | 7.38 | | A-B (T) | 25.19 | 9.74 | 7.72 | 28.53 | 9.28 | 7.64 | | A-B (C) | 24.10 | 9.32 | 7.15 | 28.19 | 9.35 | 7.32 | | B-K (T) | 21.12 | 8.07 | 6.30 | 25.83 | 8.79 | 7.21 | | B-K (C) | 20.91 | 8.00 | 6.18 | 25.39 | 8.90 | 7.31 | | A-K (T) | 21.12 | 8.19 | 6.32 | 26.27 | 9.33 | 7.62 | | A-K (C) | 20.80 | 7.97 | 6.13 | 25.39 | 8.90 | 7.31 | | A-B-K (T) | 21.12 | 8.19 | 6.32 | 26.13 | 8.73 | 7.24 | | A-B-K (C) | 20.79 | 7.93 | 6.12 | 25.30 | 8.90 | 7.31 |
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