Title | ||
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Multi-Energy Scheduling of an Industrial Integrated Energy System by Reinforcement Learning-Based Differential Evolution |
Abstract | ||
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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 |
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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 Xu | 1 | 5 | 1.76 |
Guangjie Han | 2 | 1890 | 172.76 |
Li Liu | 3 | 34 | 4.86 |
Miguel Martinez-Garcia | 4 | 44 | 12.85 |
Wang Zhijian | 5 | 106 | 27.49 |