Comparative analysis of Q-learning, SARSA, and deep Q-network for microgrid energy management
Abstract The growing integration of renewable energy sources within microgrids necessitates innovative approaches to optimize energy management. While microgrids offer advantages in energy distribution, reliability, efficiency, and sustainability, the variable nature of renewable energy generation a...
Saved in:
Main Authors: | Sreyas Ramesh, Sukanth B N, Sri Jaswanth Sathyavarapu, Vishwash Sharma, Nippun Kumaar A. A., Manju Khanna |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-83625-8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On Saigo Fractional $q$-Calculus of a General Class of $q$-Polynomials
by: Biniyam Shimelis, et al.
Published: (2024-03-01) -
Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism
by: Fei XIAO, et al.
Published: (2013-01-01) -
Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks
by: Wenwen Xia, et al.
Published: (2019-01-01) -
On monomiality property of q-Gould-Hopper-Appell polynomials
by: Nusrat Raza, et al.
Published: (2025-12-01) -
Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things
by: Jun SUN, et al.
Published: (2022-09-01)