Real-Time Scheduling of Operational Time for Smart Home Appliances Based on Reinforcement Learning

IEEE Access ◽

10.1109/access.2020.3004151 ◽

2020 ◽

Vol 8 ◽

pp. 116520-116534

Author(s):

Murad Khan ◽

Junho Seo ◽

Dongkyun Kim

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Smart Home ◽

Real Time Scheduling ◽

Home Appliances ◽

Time Scheduling ◽

Smart Home Appliances ◽

Operational Time

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Real-Time Scheduling Method Based on Deep Reinforcement Learning for a Hybrid Wind-Solar-Storage Energy Generation System

10.1049/icp.2021.2317 ◽

2021 ◽

Author(s):

Z. Wu ◽

Y. Chi ◽

X. Tang ◽

X. Yang ◽

R. Lin ◽

...

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Energy Generation ◽

Generation System ◽

Real Time Scheduling ◽

Time Scheduling ◽

Scheduling Method ◽

Storage Energy

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An optimal scheduling of smart home appliances using heuristic techniques with real-time coordination

2018 1st International Conference on Power, Energy and Smart Grid (ICPESG) ◽

10.1109/icpesg.2018.8384505 ◽

2018 ◽

Cited By ~ 1

Author(s):

Muhammad Usman Khalid ◽

Nadeem Javaid

Keyword(s):

Real Time ◽

Smart Home ◽

Optimal Scheduling ◽

Home Appliances ◽

Heuristic Techniques ◽

Smart Home Appliances

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Real-time pricing considering different type of smart home appliances based on Markov decision process

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2018.12.002 ◽

2019 ◽

Vol 107 ◽

pp. 486-495 ◽

Cited By ~ 5

Author(s):

Hongbo Zhu ◽

Yan Gao ◽

Yong Hou ◽

Zongyao Wang ◽

Xue Feng

Keyword(s):

Real Time ◽

Markov Decision Process ◽

Decision Process ◽

Smart Home ◽

Home Appliances ◽

Markov Decision ◽

Real Time Pricing ◽

Smart Home Appliances

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Applying Multi-agent Reinforcement Learning to Autonomous Distributed Real-time Scheduling

Transactions of the Institute of Systems Control and Information Engineers ◽

10.5687/iscie.26.129 ◽

2013 ◽

Vol 26 (4) ◽

pp. 129-137 ◽

Cited By ~ 1

Author(s):

Koji Iwamura ◽

Norihisa Mayumi ◽

Yoshitaka Tanimizu ◽

Nobuhiro Sugimura

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Real Time Scheduling ◽

Time Scheduling ◽

Multi Agent

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Real-time scheduling for a smart factory using a reinforcement learning approach

Computers & Industrial Engineering ◽

10.1016/j.cie.2018.03.039 ◽

2018 ◽

Vol 125 ◽

pp. 604-614 ◽

Cited By ~ 29

Author(s):

Yeou-Ren Shiue ◽

Ken-Chuan Lee ◽

Chao-Ton Su

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Smart Factory ◽

Learning Approach ◽

Real Time Scheduling ◽

Time Scheduling

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Real-Time Scheduling Using Reinforcement Learning Technique for the Connected Vehicles

2018 IEEE 87th Vehicular Technology Conference (VTC Spring) ◽

10.1109/vtcspring.2018.8417770 ◽

2018 ◽

Author(s):

Seongjin Park ◽

Younghwan Yoo

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Connected Vehicles ◽

Real Time Scheduling ◽

Learning Technique ◽

Time Scheduling

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Multi-time slots real-time pricing strategy with power fluctuation caused by operating continuity of smart home appliances

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2018.02.010 ◽

2018 ◽

Vol 71 ◽

pp. 166-174 ◽

Cited By ~ 8

Author(s):

Hongbo Zhu ◽

Yan Gao ◽

Yong Hou ◽

Li Tao

Keyword(s):

Real Time ◽

Smart Home ◽

Pricing Strategy ◽

Power Fluctuation ◽

Home Appliances ◽

Real Time Pricing ◽

Smart Home Appliances

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Deep reinforcement learning based AGVs real-time scheduling with mixed rule for flexible shop floor in industry 4.0

Computers & Industrial Engineering ◽

10.1016/j.cie.2020.106749 ◽

2020 ◽

Vol 149 ◽

pp. 106749

Author(s):

Hao Hu ◽

Xiaoliang Jia ◽

Qixuan He ◽

Shifeng Fu ◽

Kuo Liu

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Industry 4.0 ◽

Shop Floor ◽

Real Time Scheduling ◽

Time Scheduling

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1510 A study on a real-time scheduling of Holonic Manufacturing Systems : Evaluation criteria of utility values based on reinforcement learning for holons

The Proceedings of Conference of Kansai Branch ◽

10.1299/jsmekansai.2006.81._15-10_ ◽

2006 ◽

Vol 2006.81 (0) ◽

pp. _15-10_

Author(s):

Yota SEKI ◽

Koji IWAMURA ◽

Yoshitaka TANIMIZU ◽

Nobuhiro SUGIMURA

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Manufacturing Systems ◽

Evaluation Criteria ◽

Real Time Scheduling ◽

Utility Values ◽

Time Scheduling ◽

Holonic Manufacturing Systems ◽

Holonic Manufacturing

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A Deep-Reinforcement-Learning-Based Optimization Approach for Real-Time Scheduling in Cloud Manufacturing

IEEE Access ◽

10.1109/access.2020.2964955 ◽

2020 ◽

Vol 8 ◽

pp. 9987-9997

Author(s):

Huayu Zhu ◽

Mengrong Li ◽

Yong Tang ◽

Yanfei Sun

Keyword(s):

Reinforcement Learning ◽

Real Time ◽

Cloud Manufacturing ◽

Optimization Approach ◽

Real Time Scheduling ◽

Time Scheduling

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