Decentralized coordination of distributed energy resources through local energy markets and deep reinforcement learning

As the energy landscape evolves towards sustainability, the accelerating integration of distributed energy resources poses challenges to the operability and reliability of the electricity grid. One significant aspect of this issue is the notable increase in net load variability at the grid edge.Tran...

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Bibliographic Details

Published in:	Energy and AI
Main Authors:	Daniel C. May, Matthew Taylor, Petr Musilek
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Reinforcement learning Deep reinforcement learning Distributed energy resources Local energy markets Demand response Distributed energy resource management
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666546824001125