Residential Energy Load Profile Generation Using a Probabilistic Approach

Energy demand management schemes, applied to individual and aggregated residential demands, have advanced significantly in recent years. In order to improve the demand models used for the management schemes there have been several attempts to create a representative model of a household´s consumption. This paper presents a novel approach to generation of energy consumption profiles for one or several households based on the energy demand contribution of each household appliance and calculated by using a probabilistic approach. The proposed energy demand model takes into consideration a wide range of household appliances and provides a high degree of flexibility by benefiting from its modular structure. Artificially generated profiles of detailed energy consumption can be readily used for testing and verification of demand control techniques designed for both individual and aggregated household demands. The features of the proposed energy demand model along with its configuration are demonstrated by generating and illustrating the profiles of consumer energy demand.