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Prediction of NOx Emissions in Thermal Power Plants Using a Dynamic Soft Sensor Based on Random Forest and Just-in-Time Learning Methods.
Kaixun He
Haixiao Ding
Published in:
Sensors (2024)
Keyphrases
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power plant
random forest
coal fired
carbon dioxide
learning algorithm
electric power
multi class
prediction accuracy
soft computing
data sets
neural network
artificial intelligence
decision trees
random forests