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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Khawaja Haider Ali, Hasnain Hyder, Muhammad Asif Khan
Format: Artikel
Sprache:English
Veröffentlicht: University of Sindh 2023-05-01
Schriftenreihe:University of Sindh Journal of Information and Communication Technology
Schlagworte:
reinforcement learning
offline rl
microgrid
battery operation
sensitivity analysis
Online Zugang:https://sujo.usindh.edu.pk/index.php/USJICT/article/view/6218

Online

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

Ähnliche Einträge