| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6693042 | Applied Energy | 2013 | 11 Pages |
Abstract
⺠Multi-step-ahead prediction of NOx emissions, suitable for optimisation purposes. ⺠Feature selection and robust cross-validation of multi-step-ahead prediction. ⺠Comparison of linear and nonlinear modelling approaches (ARX, ARMAX, ANN, and SVR). ⺠Adaptive modelling of NOx emissions and its comparison with static modelling approach. ⺠Case study based on measured data from a power plant.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
J. Smrekar, P. PotoÄnik, A. SenegaÄnik,