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Distributed Deep Reinforcement Learning for Intelligent Load Scheduling
  in Residential Smart Grids

Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids

29 June 2020
Hwei-Ming Chung
Sabita Maharjan
Yan Zhang
Frank Eliassen
ArXivPDFHTML

Papers citing "Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids"

4 / 4 papers shown
Title
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement
  Learning
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning
Tingting Yuan
Hwei-Ming Chung
Jie Yuan
Xiaoming Fu
24
13
0
03 Dec 2022
Distributed Energy Management and Demand Response in Smart Grids: A
  Multi-Agent Deep Reinforcement Learning Framework
Distributed Energy Management and Demand Response in Smart Grids: A Multi-Agent Deep Reinforcement Learning Framework
Amin Shojaeighadikolaei
Arman Ghasemi
Kailani R. Jones
Yousif Dafalla
Alexandru G. Bardas
R. Ahmadi
M. Hashemi
11
2
0
29 Nov 2022
Internet of Behavior (IoB) and Explainable AI Systems for Influencing
  IoT Behavior
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior
Haya Elayan
Moayad Aloqaily
Fakhri Karray
Mohsen Guizani
20
27
0
15 Sep 2021
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
45
462
0
17 Nov 2020
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