In the context of the German “Energiewende”, market mechanisms influencing residential electricity demand in distributed energy systems in a predictable way can help to improve the energy system’s stability and efficiency. In order to analyze such market mechanisms, for instance, electricity tariffs with variable prices, individual residential load profiles are required which reflect the diversity of individual households better than standard load profiles and additionally consider the flexibility of demand. As measured data is hardly available, bottom-up models are an adequate means to synthetically create realistic load profiles. The advantage of bottom-up models is that they are suitable to (i) account for technological innovations and development trends and (ii) to analyze the impact of regulatory changes, e.g., variable prices, on load profiles. For the latter, the behavior of households toward price changes, i.e., their price elasticity, needs to be considered in the models as well. In this paper, a residential bottom-up load model is presented in detail. It enhances existing models, amongst others, by a more detailed represen ... mehrtation of the individual appliances‘ load profiles, better reflecting the impact of different appliances on the peak load of households. The simulated load profiles of the developed model show, on an aggregated level, a good correlation to the German standard load profile H0.