Surrogate models for composed simulation models in energy systems
Abstract New technologies and methodologies for smart grid applications cannot be tested in the real power grid, since it is a safety-critical infrastructure, therefore simulation and co-simulation is utilized. Simulation models itself can rely on quite complex calculations and therefore slow down t...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-10-01
|
| Series: | Energy Informatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s42162-018-0053-z |
| _version_ | 1818985592904482816 |
|---|---|
| author | Stephan Balduin |
| author_facet | Stephan Balduin |
| author_sort | Stephan Balduin |
| collection | DOAJ |
| description | Abstract New technologies and methodologies for smart grid applications cannot be tested in the real power grid, since it is a safety-critical infrastructure, therefore simulation and co-simulation is utilized. Simulation models itself can rely on quite complex calculations and therefore slow down the simulation. But even less complex models can lead to performance issues when used in large numbers in large-scale setups. The use of surrogate models is one way to improve the performance of simulation systems when the simulation models are slow, but the performance gain diminishes, when the simulation models are already quite fast. This abstract presents a new PhD project, which proposes a method to combine several simulation models into one surrogate model using correlations and other interdependencies of the simulation models. The goal is to further improve the performance gain not only for slower, but also for less complex simulation models, thus enable even larger simulation setups. |
| first_indexed | 2024-12-20T18:37:21Z |
| format | Article |
| id | doaj.art-3ce509c5fbed47ac9cf3d7cd3f289d33 |
| institution | Directory Open Access Journal |
| issn | 2520-8942 |
| language | English |
| last_indexed | 2024-12-20T18:37:21Z |
| publishDate | 2018-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Energy Informatics |
| spelling | doaj.art-3ce509c5fbed47ac9cf3d7cd3f289d332022-12-21T19:29:55ZengSpringerOpenEnergy Informatics2520-89422018-10-011S140341010.1186/s42162-018-0053-zSurrogate models for composed simulation models in energy systemsStephan Balduin0OFFIS – Institute of Information TechnologyAbstract New technologies and methodologies for smart grid applications cannot be tested in the real power grid, since it is a safety-critical infrastructure, therefore simulation and co-simulation is utilized. Simulation models itself can rely on quite complex calculations and therefore slow down the simulation. But even less complex models can lead to performance issues when used in large numbers in large-scale setups. The use of surrogate models is one way to improve the performance of simulation systems when the simulation models are slow, but the performance gain diminishes, when the simulation models are already quite fast. This abstract presents a new PhD project, which proposes a method to combine several simulation models into one surrogate model using correlations and other interdependencies of the simulation models. The goal is to further improve the performance gain not only for slower, but also for less complex simulation models, thus enable even larger simulation setups.http://link.springer.com/article/10.1186/s42162-018-0053-zSurrogate modelsMachine learningSimulationCo-simulationEnergy systemSmart grid |
| spellingShingle | Stephan Balduin Surrogate models for composed simulation models in energy systems Energy Informatics Surrogate models Machine learning Simulation Co-simulation Energy system Smart grid |
| title | Surrogate models for composed simulation models in energy systems |
| title_full | Surrogate models for composed simulation models in energy systems |
| title_fullStr | Surrogate models for composed simulation models in energy systems |
| title_full_unstemmed | Surrogate models for composed simulation models in energy systems |
| title_short | Surrogate models for composed simulation models in energy systems |
| title_sort | surrogate models for composed simulation models in energy systems |
| topic | Surrogate models Machine learning Simulation Co-simulation Energy system Smart grid |
| url | http://link.springer.com/article/10.1186/s42162-018-0053-z |
| work_keys_str_mv | AT stephanbalduin surrogatemodelsforcomposedsimulationmodelsinenergysystems |