The increase in the use of residential air conditioners in Chinese households has resulted in a rapid increase in energy consumption. The rapid development of artificial intelligence technology provides a powerful tool for advancement in this field. However

there are various potential energy conservation and emission reduction paths for residential air conditioners

in addition to a wide variety of artificial intelligence technologies

which have not yet been systematically defined by the industry in combination with these two aspects. This paper summarizes and classifies various available artificial intelligence technologies with respect to achieving energy conservation and emission reduction for residential air conditioners and provides brief descriptions of these technologies. Because most artificial intelligence technologies are inseparable from data support

this study also introduces a method of efficiently obtaining training data through joint simulation.