Abstract: In order to accurately describe the characteristics of regional electric heating load, and support the power grid transformation and the demand side management, a simulation modeling method of regional electric heating load characteristics based on individual spatial-temporal behavior simulation is proposed. In this model, an agent-based modeling method is introduced.With family members as the minimum decision-making unit, a three-layer structure of family members, family network and residential area is adopted. Firstly, a heating temperature decision model of family members is established considering travelling behavior and human thermal comfort. Then, a heating temperature decision model for family members is established that takes into account the family members’ emotional interaction, travelling time sequence and economic factors. Finally, considering weather temperature, residential thermal performance and operation strategy for electric heating equipment, a regional heating electricity consumption load model is established. The effectiveness of the model is verified by the simulation of household data in a residential area, and the correlation and sensitivity factors of load characteristics are deeply analyzed.