This paper analyses the behaviour of the demand curve in the residential sector from Bogota, Colombia, based on changes in the electric energy consumption behaviour of users. Initially, a survey divided in analysis units focused on obtaining the main characteristics of residential energy consumption was conducted. Using this information, a stochastic model was designed and developed in order to determine how changes in consumption habits during specific periods of the day influence the demand projection for a residential sector. A base scenario for the users of the selected population group was established from measurements in 18 houses and in the common point of a building, and the average energy consumed was 168.86 kWh/month. Through simulations using a system dynamics software, 12 scenarios were established. Consumption habits of users were modified in relation with periods and appliances, concluding that it is necessary to apply a set of strategies to encourage actions for changing the consumption habits of residential users, which has to be provided by government policies relevant to the energy area.