@techreport{Budde2022,
  type      = {Working Paper},
  author    = {Budde, Janik},
  title     = {Residential load profile tools - A review and comparison of applied tools},
  doi       = {10.25974/fhms-17857},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-178573},
  pages     = {16},
  year      = {2022},
  abstract  = {The energy demand of the residential sector contributed to about 29 \% of Germany's final energy consumption in 2020. For the planning and optimization of energy systems, an understanding of the temporal energy consumption is necessary. This paper discusses tools for estimating these load profiles. Load profiles for electricity, space heating and domestic hot water (DHW) are investigated. A total of ten tools were applied. It turns out that the selected load profiles are dependent on the field of application. Load profiles influence the results of energy system modeling and therefore it is important to differentiate load profile tools. Standardized load profiles are well suited when a large number of buildings are considered. Stochastic load profiles, behavioral load profiles and the reference load profiles are well suited for building-specific simulations. Physical load pro- files are well suited for single building models, but as soon as several buildings are considered, the input effort for a sufficient accuracy is high.},
  language  = {de}
}