Twin-delayed deep deterministic policy gradient algorithm for the energy management of microgrids

The microgrid market is growing significantly due to several drivers, such as the need to lower greenhouse gas emissions by integrating higher shares of distributed renewable energy sources, falling costs of microgrid components, the need for more reliable power supply infrastructures, and new off-g...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 125; p. 106693
Main Authors:	Domínguez-Barbero, David, García-González, Javier, Sanz-Bobi, Miguel Á.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.10.2023
Subjects:	Continuous action space Deep reinforcement learning Energy management system Microgrids TD3 Deep reinforcement learning TD3 Continuous action space Energy management system Microgrids
ISSN:	0952-1976
Online Access:	Get full text
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