Tool-assisted Surrogate Selection for Simulation Models in Energy Systems
Title | Tool-assisted Surrogate Selection for Simulation Models in Energy Systems |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Stephan Balduin, Frauke Oest, Marita Blank-Babazadeh, Astrid Nieße, Sebastian Lehnhoff |
Journal | Annals of Computer Science and Information Systems |
Volume | 18 |
Pagination | 185-192 |
Abstract | 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. |
URL | https://annals-csis.org/proceedings/2019/drp/242.html |
DOI | http://dx.doi.org/10.15439/2019F242 |
Citation Key | http://dx.doi.org/10.15439/2019F242 |