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Titel:

Empowering Safe Reinforcement Learning in Power System Control with CommonPower

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Markgraf, Hannah; Eichelbeck, Michael; Althoff, Matthias
Abstract:
Reinforcement learning (RL) has become a valuable tool for addressing complex decision-making problems in power system control. However, the unique intricacies of this domain necessitate the development of specialized RL algorithms. While benchmarking problems have proven effective in advancing algorithm development in various domains, existing suites do not enable a systematic study of two key challenges in power system control: ensuring adherence to physical constraints and evaluating the impa...     »
Kongress- / Buchtitel:
ICLR 2024 Workshop on Tackling Climate Change with Machine Learning
Publikationsdatum:
11.05.2024
Jahr:
2024
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