Evaluating different machine learning techniques as surrogate for low voltage grids

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...

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Bibliographic Details
Main Authors: Stephan Balduin, Tom Westermann, Erika Puiutta
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:Energy Informatics
Subjects:
Machine learning
Artificial neural network
Surrogate model
Power grid
Power flow
Online Access:http://link.springer.com/article/10.1186/s42162-020-00127-3

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