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pro vyhledávání: '"Holzhüter, Clara"'
Autor:
Hassouna, Mohamed, Holzhüter, Clara, Lytaev, Pawel, Thomas, Josephine, Sick, Bernhard, Scholz, Christoph
The rise of renewable energy and distributed generation requires new approaches to overcome the limitations of traditional methods. In this context, Graph Neural Networks are promising due to their ability to learn from graph-structured data. Combine
Externí odkaz:
http://arxiv.org/abs/2407.04522
With the growth of Renewable Energy (RE) generation, the operation of power grids has become increasingly complex. One solution could be automated grid operation, where Deep Reinforcement Learning (DRL) has repeatedly shown significant potential in L
Externí odkaz:
http://arxiv.org/abs/2405.00629
Graphs are ubiquitous in nature and can therefore serve as models for many practical but also theoretical problems. For this purpose, they can be defined as many different types which suitably reflect the individual contexts of the represented proble
Externí odkaz:
http://arxiv.org/abs/2204.03080
Publikováno v:
In Energy and AI October 2023 14