The purpose of this study is to develop models for controlling electricity consumption with the goal of evolving efficiency in the electricity consumption system. The models developed for the electricity consumption problem attempts to investigate the consumption pattern of individual electric appliances in a building to allow for more efficient electricity consumption. The time-based electricity consumption visualizations for appliances used in this research study is carried out to evaluate the level of efficiency in electricity consumption. This paper presents a bottom-up modelling approach for stochastic electricity consumption data profiles in households. By collecting household electricity consumption data, a model is developed for domestic electricity consumption based on daily activity profiles for individual appliances. As a means of validating the model, a statistical comparison is made between measured data collected for appliances over a period in Hamilton, New Zealand and simulated data sets from these measurements. The output of the proposed domestic load model may be designed to meet specific requirements of consumers or integrated into other models.