In order to derive optimal investment or operation decisions in a complex energy system, a holistic complexity management is developed that evaluates the trade-off between complexity and required model accuracy. For the case of the spatial and temporal complexity dimensions, this is extended by novel data aggregation methods that are able to reduce the required model complexity to design reliable renewable based energy systems.
Complexity Management
Temporal Aggregation
Spatial Aggregation