Data Analysis and Symbolic Regression Models for Predicting CO and NO<sub>x</sub> Emissions from Gas Turbines

Data Analysis and Symbolic Regression Models for Predicting CO and NO<sub>x</sub> Emissions from Gas Turbines

Predictive emission monitoring systems (PEMS) are software solutions for the validation and supplementation of costly continuous emission monitoring systems for natural gas electrical generation turbines. The basis of PEMS is that of predictive models trained on past data to estimate emission compon...

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Bibliographic Details
Main Authors: Olga Kochueva, Kirill Nikolskii
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Computation
Subjects:
predictive emission monitoring systems
exhaust emissions prediction
CO emissions
NO<sub>x</sub> emissions
gas turbines
machine learning
Online Access:https://www.mdpi.com/2079-3197/9/12/139

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