MARLA-SG: Multi-Agent Reinforcement Learning Algorithm for Efficient Demand Response in Smart Grid

MARLA-SG: Multi-Agent Reinforcement Learning Algorithm for Efficient Demand Response in Smart Grid

The population is sharply growing in the last decade, resulting in non-potential power requests in dense urban areas, especially with the traditional power grid where the system is not compatible with the infrequent changes. Smart grids have shown strong potential to effectively mitigate and smooth...

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Bibliographic Details
Main Authors: Sally Aladdin, Samah El-Tantawy, Mostafa M. Fouda, Adly S. Tag Eldien
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Smart grid
demand response
reinforcement learning
Q-learning
SARSA (State Action Reward State Action)
Online Access:https://ieeexplore.ieee.org/document/9262925/

Internet

https://ieeexplore.ieee.org/document/9262925/

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