Reinforcement learning-driven local transactive energy market for distributed energy resources

Local energy markets are emerging as a tool for coordinating generation, storage, and consumption of energy from distributed resources. In combination with automation, they promise to provide an effective energy management framework that is fair and brings system-level savings. The cooperative–compe...

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Bibliographic Details
Main Authors: Steven Zhang, Daniel May, Mustafa Gül, Petr Musilek
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Energy and AI
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546822000118