Title
Multi-Energy Scheduling of an Industrial Integrated Energy System by Reinforcement Learning-Based Differential Evolution
Abstract
The Industrial Internet of Things (IIoT) is one of the main catalysts towards the realization of the Industry 4.0 paradigm, thus it is regarded as an essential element in future industrial systems – which can assist in reducing energy consumption and in enhancing product life-cycle management. In this study, an industrial multi-energy scheduling framework (IMSF) i...
Year
DOI
Venue
2021
10.1109/TGCN.2021.3061789
IEEE Transactions on Green Communications and Networking
Keywords
DocType
Volume
Thermal energy,Energy storage,Job shop scheduling,Reinforcement learning,Optimal scheduling,Renewable energy sources,Industrial Internet of Things
Journal
5
Issue
ISSN
Citations 
3
2473-2400
2
PageRank 
References 
Authors
0.36
0
5
Name
Order
Citations
PageRank
Zhengwei Xu151.76
Guangjie Han21890172.76
Li Liu3344.86
Miguel Martinez-Garcia44412.85
Wang Zhijian510627.49