Cooperative control of boiler is an effective approach to improve steam temperature stability under flexible operation. Taking a 660 MW coal-fired boiler as the research object

by using the historical operation data

a cooperative prediction model based on the long-short-term memory(LSTM) neutral network for main steam temperature

reheated steam temperature

NO_x and CO mass concentration at the furnace outlet was established. The prediction results show that

all the correlation coefficients of the four outputs of the cooperative prediction model are larger than 0.94

indicating the model has good comprehensive prediction effect and generalization ability. The research provides a foundation for collaborative optimization control of boiler steam temperature

pollutants emission reduction and furnace efficiency enhancement.