Reinforcement learning-based energy storage management in smart grids

Reinforcement learning-based energy storage management in smart grids

This study investigates the use of reinforcement learning (RL) techniques as a dynamic control mechanism to enhance the management of energy storage in smart grid systems. The research aims to optimize the efficiency of energy storage operations by analyzing collected data from different time interv...

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Bibliographic Details
Main Authors: Iurevna Usanova Kseniia, Bharadwaj V.Y.
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:MATEC Web of Conferences
Subjects:
reinforcement learning
energy storage
smart grids
optimization
adaptive control
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01171.pdf

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