Table 2 Forecasting performance across methods.
Model | MAE (MW) | RMSE (MW) | NDCG | MAP |
|---|---|---|---|---|
Proposed (rank-aware) | 5.92 | 7.44 | 0.883 | 0.729 |
LambdaMART | 6.87 | 8.73 | 0.814 | 0.643 |
LSTM | 7.91 | 10.12 | 0.752 | 0.591 |
XGBoost | 8.42 | 10.45 | 0.731 | 0.567 |
Model | MAE (MW) | RMSE (MW) | NDCG | MAP |
|---|---|---|---|---|
Proposed (rank-aware) | 5.92 | 7.44 | 0.883 | 0.729 |
LambdaMART | 6.87 | 8.73 | 0.814 | 0.643 |
LSTM | 7.91 | 10.12 | 0.752 | 0.591 |
XGBoost | 8.42 | 10.45 | 0.731 | 0.567 |