Artificial intelligence models for the prediction of NOx emissions in gas turbines (CROSBI ID 719128)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Glučina, Matko ; Mrzljak, Vedran ; Poljak, Igor ; Car, Zlatan
engleski
Artificial intelligence models for the prediction of NOx emissions in gas turbines
Gas emissions from power plants and gas turbines use fossil fuels as their energy source and have a detrimental effect on people and the environment, one of the harmful gases obtained by burning fossil fuels is Nitrogen Oxide which can have harmful effects on humans. This research boils down to the use of artificial intelligence algorithms from the scikit-learn library that can potentially predict future NOx values from a gas turbine. The research was conducted on a publicly available data set from a gas turbine in Turkey. Linear models Linear regression, Ridge, Stochastic gradient descent, ExtraTreesRegessor, GradientBoostingRegressor, and RandomForestRegressor were used, with the best result obtained using GradientBoostingRegressor, with R2 and MSE being 0.9 and 12.60. The onclusion is that a simple approach could not provide sufficient quality results for the use of the model.
Artificial intelligence ; Gas Turbine Power Plants ; Machine Learning ; NOX ; Regression Prediction
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Podaci o prilogu
33-36.
2022.
objavljeno
Podaci o matičnoj publikaciji
Rijeka:
Podaci o skupu
International Student Scientific Conference (Ri-STEM 2022)
predavanje
08.06.2022-09.06.2022
Rijeka, Hrvatska