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http://bura.brunel.ac.uk/handle/2438/24227
Title: | Self-Dispatch of Wind-Storage Integrated System: A Deep Reinforcement Learning Approach |
Authors: | Wei, X Xiang, Y Li, J Zhang, X |
Keywords: | wind farm;energy storage system;electricity market;deep reinforcement learning;distributed prioritized experience replay;maximum entropy |
Issue Date: | 7-Mar-2022 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | Wei, X., Xiang, Y., Li, J. and Zhang, X. (2022) 'Self-Dispatch of Wind-Storage Integrated System: A Deep Reinforcement Learning Approach', IEEE Transactions on Sustainable Energy 13 (3), pp. 1861 - 1864. doi: 10.1109/tste.2022.3156426. |
URI: | https://bura.brunel.ac.uk/handle/2438/24227 ORCID iDs: Xiangyu Wei https://orcid.org/0000-0003-1436-9303; Yue Xiang https://orcid.org/0000-0001-8456-1195; Xin Zhang https://orcid.org/0000-0002-6063-959X. |
DOI: | https://doi.org/10.1109/tste.2022.3156426 |
ISSN: | 1949-3029 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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