Enhancing Distributed Energy Markets in Smart Grids Through Game Theory and Reinforcement Learning

Enhancing Distributed Energy Markets in Smart Grids Through Game Theory and Reinforcement Learning

The rapid growth of distributed energy resources (DERs) in smart grids has necessitated innovative strategies to manage and optimize energy markets. This paper introduces an architectural framework that leverages game theory and reinforcement learning (RL) as foundational methodologies to enhance th...

Full description

Bibliographic Details
Main Authors: Ameni Boumaiza, Kenza Maher
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
demand-side management
artificial intelligence
electricity efficiency
smart grids
energy management
Online Access:https://www.mdpi.com/1996-1073/17/22/5765

Internet

https://www.mdpi.com/1996-1073/17/22/5765

Similar Items