Owing to the complexity of municipal solid waste (MSW), flue gas composition and operating conditions, it is challenging to predict pollutant emissions accurately and control them intelligently in the MSW incineration process. This study uses a 750 t/d large-scale grate-type MSW incinerator as the research object. Based on a long short-term memory (LSTM) model, collaborative prediction (co-prediction) of multiple pollutants (HCl, SO