Evaluating different machine learning techniques as surrogate for low voltage grids
Abstract The transition of the power grid requires new technologies and methodologies, which can only be developed and tested in simulations. Especially larger simulation setups with many levels of detail can become quite slow. Therefore, the number of possible simulation evaluations decreases. One...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2020-10-01
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| Series: | Energy Informatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s42162-020-00127-3 |