• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 21, Issue 1, 112 (2023)
CAO Jun*, SUN Yingying, and ZHAO Hang
Author Affiliations
  • [in Chinese]
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    DOI: 10.11805/tkyda2020178 Cite this Article
    CAO Jun, SUN Yingying, ZHAO Hang. Reinforcement Learning-based Optimizing Dynamic Pricing algorithm in smart grid[J]. Journal of Terahertz Science and Electronic Information Technology , 2023, 21(1): 112 Copy Citation Text show less
    References

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    [7] GHASEMKHANI A, YANG L. Reinforcement learning based pricing for demand response[C]// 2018 IEEE International Conference on Communications Workshops(ICC Workshops). Kansas City,MO,USA:IEEE, 2018:1-6.

    [8] JIN M, FENG W, MARNAY C, et al. Microgrid to enable optimal distributed energy retail and end-user demand response[J]. Applied Energy, 2018(210):1312-1335.

    [9] LU Renzhi, HONG Seung Ho, ZHANG Xiongfeng. A dynamic pricing demand response algorithm for smart grid: reinforcement learning approach[J]. Applied Energy, 2018(220):220-230.

    [10] REZA B,NASSER M,BABAK B. Optimizing dynamic pricing demand response algorithm using reinforcement learning in smart grid[C]// 2020 25th International Computer Conference. Tehran,Iran:IEEE, 2020:1-5.

    CAO Jun, SUN Yingying, ZHAO Hang. Reinforcement Learning-based Optimizing Dynamic Pricing algorithm in smart grid[J]. Journal of Terahertz Science and Electronic Information Technology , 2023, 21(1): 112
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