Municipal　solid　waste　incineration　(MSWI)　processes　emit　the　greenhouse　gas　carbon　dioxide　(CO2),　contributing　to　global　atmospheric　warming.　In　order　to　achieve　the　dual　carbon　goal　and　protect　the　ecological　environment,　it　is　imperative　to　predict　CO2　emission　concentrations　and　implement　proactive　control　measures.　Addressing　these　concerns,　this　study　introduces　a　CO2　emission　prediction　model　for　the　MSWI　process　based　on　the　LSTM-compensated　ARIMA　model.　Initially,　the　ARIMA　model　serves　as　the　primary　predictor　for　CO2　emissions　and　calculates　its　prediction　residuals.　Subsequently,　the　LSTM　model　functions　as　a　compensatory　model,　utilizing　the　predicted　residuals　as　input　truth　values　for　constructing　predictions.　Finally,　the　predicted　values　from　the　primary　and　compensatory　models　are　weighted　and　combined　to　yield　the　ultimate　result.　Experimental　results,　conducted　using　data　from　an　MSWI　plant　in　Beijing,　demonstrate　the　efficacy　of　this　approach.　©　2024　IEEE.