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      Cloud Computing Based Demand Response Management Using Deep Reinforcement Learning; Review

      Preprint
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      research-article
      Author(s):   1 ,
      Publication date (Electronic preprint):
      Journal: ScienceOpen Preprints
      Publisher: ScienceOpen
      Keywords: Cloud computing, Demand response, power grid, electric, price, resources/equipment
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            Abstract

            Content

            Author and article information

            Journal
            Title: ScienceOpen Preprints
            Publisher: ScienceOpen
            Publication date (Electronic preprint): 22 February 2023
            Affiliations
            [1 ] The University of Newcastle;
            Author notes
            Author information
            https://orcid.org/0000-0003-3531-2402
            Article
            DOI: 10.14293/S2199-1006.1.SOR-.PPFI6OV.v1
            SO-VID: a9dc719d-7b07-4a1b-a851-53cafacc9cd4
            License:

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            Date received : 22 February 2023
            Categories

            Data availability: Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            ScienceOpen disciplines: Computer science
            Keywords: Cloud computing,Demand response,power grid,electric,price,resources/equipment

            References

            1. Gali Manvitha, Mahamkali Aditya. A Distributed Deep Meta Learning based Task Offloading Framework for Smart City Internet of Things with Edge-Cloud Computing. Journal of Internet Services and Information Security. Vol. 12(4):224–237. 2022. SASA Publications. [Cross Ref]

            2. Ghanam Yaser, Ferreira Jennifer, Maurer Frank. Emerging Issues & Challenges in Cloud Computing—A Hybrid Approach. Journal of Software Engineering and Applications. Vol. 05(11):923–937. 2012. Scientific Research Publishing, Inc. [Cross Ref]

            3. Kadhim Qusay Kanaan, Yusof Robiah, Mahdi Hamid Sadeq, Ali Al-shami Sayed Samer, Selamat Siti Rahayu. A Review Study on Cloud Computing Issues. Journal of Physics: Conference Series. Vol. 1018:2018. IOP Publishing. [Cross Ref]

            4. Cloud Computing. 2017. CRC Press. [Cross Ref]

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