Dynamic prediction of boiler NO emission with graph convolutional gated recurrent unit model optimized by genetic algorithm-Reference-Cited by-同舟云学术

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Dynamic prediction of boiler NO emission with graph convolutional gated recurrent unit model optimized by genetic algorithm

Published:2024-05 Issue: Volume:294 Page:130957
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Fan Yuchen,Liu Xin,Zhang Chaoqun,Li Chi,Li Xinying,Wang Heyang^ORCID

Publisher

Elsevier BV

Reference39 articles.

1. Real-time dynamic prediction model of NOx emission of coal-fired boilers under variable load conditions;Yang;Fuel,2020

2. Experimental investigation of the characteristics of NOx emissions with multiple deep air-staged combustion of lean coal;Wang;Fuel,2020

3. Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards;Tang;Nat Energy,2019

4. Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant;Oko;Fuel,2015

5. Development and validation of a dynamic simulation model for a large coal-fired power plant;Starkloff;Appl Therm Eng,2015

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