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...

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Dettagli Bibliografici
Autori principali: Khawaja Haider Ali, Hasnain Hyder, Muhammad Asif Khan
Natura: Articolo
Lingua:English
Pubblicazione: University of Sindh 2023-05-01
Serie:University of Sindh Journal of Information and Communication Technology
Soggetti:
reinforcement learning
offline rl
microgrid
battery operation
sensitivity analysis
Accesso online:https://sujo.usindh.edu.pk/index.php/USJICT/article/view/6218

Accesso online

https://sujo.usindh.edu.pk/index.php/USJICT/article/view/6218

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