To　accurately　predict　the　nitrogen　oxides　(NOx)　emissions　concentration　during　the　municipal　solid　waste　incineration　process,　a　prediction　method　based　on　the　Bagging　ensemble　and　stochastic　configuration　network　(SCN)　is　proposed,　and　the　relevant　variables　of　the　municipal　solid　waste　incineration　process　are　used　to　predict　NOx　concentration　in　this　paper.　Firstly,　the　Bootstrap　sampling　method　is　used　to　generate　several　different　training　subsets,　and　multiple　SCN　base　models　are　trained　under　different　subsets.　The　average　value　of　the　output　results　of　every　base　model　is　taken　as　the　final　output.　Finally,　the　actual　historical　data　of　a　solid　waste　treatment　plant　in　Beijing　are　used　to　verify　the　model　and　compared　with　the　single　SCN,　random　vector　function　link　network　(RVFLN),　Bagging-RVFLN.　The　experimental　results　show　that　the　proposed　method　has　high　accuracy　and　can　accurately　predict　the　NOx　emissions　concentration　in　MSW　incineration　process.　©　2023　IEEE.