Sensitivity Analysis of Reinforcement Learning to Schedule the battery in Grid-tied microgrid

Sensitivity Analysis of Reinforcement Learning to Schedule the battery in Grid-tied microgrid

This research paper explores the application of offline reinforcement learning (RL) in controlling battery operation in a grid-connected microgrid. The study investigates the impact of different parameters on the performance of the RL algorithm, such as the number of discretization levels, gamma, an...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Khawaja Haider Ali, Hasnain Hyder, Muhammad Asif Khan
Format:	Artykuł
Język:	English
Wydane:	University of Sindh 2023-05-01
Seria:	University of Sindh Journal of Information and Communication Technology
Hasła przedmiotowe:	reinforcement learning offline rl microgrid battery operation sensitivity analysis
Dostęp online:	https://sujo.usindh.edu.pk/index.php/USJICT/article/view/6218

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