Precise forecasts of electrical and thermal load profiles are extremely necessary for the preplanning of home energy management systems. In order to synthesize user behavior and load profiles in high time resolution, User Interaction Model has been developed. By using time budget survey data and stochastic modeling, activity profiles of each inhabitant are created based on statistical input data. Mapping of activities to different categories of appliances allows USER to emulate realistic load curves for both single occupants and the entire residential building. This paper especially deals with modeling of energy demand for lighting and the resulting electrical load profiles.
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Precise forecasts of electrical and thermal load profiles are extremely necessary for the preplanning of home energy management systems. In order to synthesize user behavior and load profiles in high time resolution, User Interaction Model has been developed. By using time budget survey data and stochastic modeling, activity profiles of each inhabitant are created based on statistical input data. Mapping of activities to different categories of appliances allows USER to emulate realistic load cu...
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