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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Vydáno v:	Engineering applications of artificial intelligence Ročník 125; s. 106693
Hlavní autoři:	Domínguez-Barbero, David, García-González, Javier, Sanz-Bobi, Miguel Á.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.10.2023
Témata:	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
On-line přístup:	Získat plný text
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