The article presents a model using support vector machines to predict the carbon content in fly ash and NOx emissions from coal combustion in power plants. By analyzing sample data and selecting model parameters, the researchers built a reliable model that was validated with experimental data. The results showed that support vector machines are effective in creating accurate combustion models with low errors and high calculation ability.