With　the　aggravation　of　energy　shortage　and　environmental　degradation,　energy　saving　and　emission　reduction　are　imperative.　Among　them,　the　energy　consumption　of　air　conditioners　accounts　for　a　large　proportion,　and　there　is　a　great　potential　to　enhance　the　energy　consumption　system　of　air　conditioners　to　improve　the　situation.　Therefore,　reducing　the　energy　consumption　of　air　conditioners　has　become　a　hot　topic　of　concern.　However,　traditional　methods　often　ignore　the　requirements　of　indoor　personnel　for　comfort　and　do　not　meet　the　actual　needs.　To　address　this　problem,　this　paper　proposes　to　combine　thermal　comfort　(PMV)　and　air　quality　(IAQ)　as　an　integrated　indoor　comfort　level,　and　the　genetic　algorithm　optimized　BP　neural　network　(GA-BP)　algorithm　is　used　to　model　the　comfort-energy　consumption,　which　is　verified　by　simulation,　and　the　results　prove　that　the　model　has　small　error　and　is　feasible.　Based　on　this,　the　energy　consumption　optimization　strategy　is　proposed　to　achieve　the　relative　optimal　relationship　between　human　comfort　and　energy　saving.　©　2022　IEEE.