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DC Field | Value | Language |
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dc.contributor.author | Hua, H | - |
dc.contributor.author | Qin, Z | - |
dc.contributor.author | Dong, N | - |
dc.contributor.author | Qin, Y | - |
dc.contributor.author | Ye, M | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Chen, X | - |
dc.contributor.author | Cao, J | - |
dc.date.accessioned | 2021-10-07T13:00:10Z | - |
dc.date.available | 2021-01-01 | - |
dc.date.available | 2021-10-07T13:00:10Z | - |
dc.date.issued | 2021-09-08 | - |
dc.identifier.citation | H. Hua et al., "Data-driven Dynamical Control for Bottom-up Energy Internet System," in IEEE Transactions on Sustainable Energy, doi: 10.1109/TSTE.2021.3110294. | en_US |
dc.identifier.issn | 1949-3029 | - |
dc.identifier.issn | 1949-3037 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/23316 | - |
dc.description | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.description.sponsorship | Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities of China; BNRist Program | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Bottom-up | en_US |
dc.subject | Deep reinforcement learning | en_US |
dc.subject | Energy Internet | en_US |
dc.subject | Microgrid | en_US |
dc.subject | Stochastic system | en_US |
dc.title | Data-driven Dynamical Control for Bottom-up Energy Internet System | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/TSTE.2021.3110294 | - |
dc.relation.isPartOf | IEEE Transactions on Sustainable Energy | - |
pubs.publication-status | Published | - |
dc.identifier.eissn | 1949-3037 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | 2.73 MB | Adobe PDF | View/Open |
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