Household energy consumption in China is a big challenge due to differences among people. A new method combining agent-based modeling and deep learning was used to predict and simulate household energy use. The results showed that factors like income and certain behaviors can greatly impact energy consumption. By considering local economic and social factors, better energy strategies can be developed. This study offers a new way to understand and predict household energy use.