Research Article
Power Prediction of Combined Cycle Power Plant (CCPP) Using Machine Learning Algorithm-Based Paradigm
Table 7
Results comparison with the previous methods on the CCPP dataset.
| | RMSE | AE |
| Previous literature | | | KNN (2012) [19] | N/A | 3.51 | Bagging with REPTree [4] | 4.23 | 3.22 | C-CRF (2016) [20] | 3.97 | 2.97 | TSK-ELM (2018) [18] | 3.93 | N/A | Regression ANN (2018) [12] | 4.32 | N/A | TOB matching (2020) [21] | 2.89 | N/A |
| Ours | | | GBRT (450 trees) | 2.58 | 1.85 | KNN () | 3.32 | 2.37 | DNN (450 epochs) | 3.44 | 2.62 | ANN (450 cycles) | 4.04 | 3.17 | LR | 4.26 | 3.40 |
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