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A hybrid genetic algorithm and linear regression for prediction of NOx emission in power generation plant

This paper presents a new approach of gas emission estimation in power generation plant using a hybrid Genetic Algorithm (GA) and Linear Regression (LR) (denoted as GA-LR). The LR is one of the approaches that model the relationship between an output dependant variable, y, with one or more explanato...

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Bibliographic Details
Main Authors: Bunyamin M.A., Yap K.S., Aziz N.L.A.A., Tiong S.K., Wong S.Y., Kamal M.F.
Other Authors: 55812855600
Format: Conference paper
Published: Institute of Physics Publishing 2023
Subjects:
Estimation
Gas emissions
Genetic algorithms
Nitrogen oxides
Optimal systems
Accurate prediction
Emission estimation
Explanatory variables
Hybrid genetic algorithms
Model parameters
Optimal solutions
Power generation plants
Prediction errors
comparative study
electricity generation
error analysis
estimation method
genetic algorithm
industrial emission
numerical model
optimization
parameterization
regression analysis
Forecasting
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