Informace o publikaci
Emission prediction of a thermal power plant
| Autoři | |
|---|---|
| Rok publikování | 2014 |
| Druh | Článek ve sborníku |
| Konference | Znalosti 2014 |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Informatika |
| Klíčová slova | meta-learning; model prediction; boiler; NOx |
| Popis | The task of prediction of emissions is very challenging and also important. We argued that simple learning techniques that learn only one predictive model are not powerful enough in more complex situations. Better predictive results can be achieved by splitting data into smaller parts and for each part to learn a sub-model. We proposed and tested a novel method that combines meta-learning and ensemble learning. We showed that there is significant increase in prediction accuracy. |