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2020-10-01
Stephan Balduin, Frauke Oest, Marita Blank-Babazadeh, Astrid Nieße, Sebastian Lehnhoff.  2019.  Tool-assisted Surrogate Selection for Simulation Models in Energy Systems. Annals of Computer Science and Information Systems. 18:185-192.

Surrogate models have proved to be a suitable replacement for complex simulation models in various applications. Runtime considerations, complexity reduction and privacy concerns play a role in the decision to use a surrogate model. The choice of an appropriate surrogate model though is often tedious and largely dependent on the individual model properties. A tool can help to facilitate this process. To this end, we present a surrogate modeling process supporting tool that simplifies the process of generation and application of surrogate models in a co-simulation framework. We evaluate the tool in our application context, energy system co-simulation, and apply it to different simulation models from that domain with a focus on decentralized energy units.