Fit for purpose: Modeling wholesale electricity markets realistically with multi-agent deep reinforcement learning

Fit for purpose: Modeling wholesale electricity markets realistically with multi-agent deep reinforcement learning

Electricity markets need to continuously evolve to address the growing complexity of a predominantly renewable energy-driven, highly interconnected, and sector-integrated energy system. Simulation models allow testing market designs before implementation, which offers advantages for market robustnes...

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Bibliographic Details
Main Authors: Nick Harder, Ramiz Qussous, Anke Weidlich
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Energy and AI
Subjects:
Agent-based modeling
Reinforcement learning
Machine learning
Electricity markets
Multi-agent reinforcement learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546823000678

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http://www.sciencedirect.com/science/article/pii/S2666546823000678

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