skip to main content
10.1145/3452940.3453043acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiciteeConference Proceedingsconference-collections
research-article

Preliminary Analysis of The Application and Development of Big Data, Cloud Computing, IoT, Mobile Internet, AI, and Blockchain In The Power Scene

Published: 17 May 2021 Publication History

Abstract

In the fourth industrial revolution-the green resources revolution, a series of production modes will be changed from natural resources input to green resources input as a feature, and this will be used in various industries. As the most widely used electric energy, it will usher in a new epoch-making generation of electric power technology revolution including " big data, cloud computing, Internet of Things, mobile Internet, artificial intelligence and blockchain " in the Industry 4.0 era. The new application of these new technologies in the power scene will bring many improvements to the power system, including expanding the enterprise value boundary, improving customer experience, reducing service costs, improving service quality, and promoting the transformation of enterprises. However, because these technologies themselves have certain technical loopholes, and the integration with the huge power grid system will also bring more threats. So we need to carefully study and analyze how to better apply new technologies in the power grid. This paper introduces the current development of these technologies and lists the application scenarios of their integration with the grid system. The hidden dangers that may be brought by the application of these new technologies in the power grid system are introduced, and corresponding solutions are proposed.

References

[1]
X. Qu, L. Kou, X. Hou and G. Niu, "Urban Smart Energy System Architecture and Key Technology Analysis, " 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 2019, pp. 3458--3461.
[2]
Ali-Eldin, Amr, Ali, Hesham Arafat, Amin, Shaimaa A. A. A context-aware dispatcher for the Internet of Things: The case of electric power distribution systems[J]. Computers and Electrical Engineering, 2016, 52:183--198.
[3]
MICHAEL BRUDNO, M. SATYANARAYANAN, H. ANDRES LAGARCAVILLA, et al. SnowFlock: Virtual Machine Cloning as a First-Class Cloud Primitive[J]. ACM transactions on computer systems, 2011, 29(1):2.1-2.45.
[4]
M. Ghorbanian, S. H. Dolatabadi and P. Siano, "Big Data Issues in Smart Grids: A Survey, " in IEEE Systems Journal, vol. 13, no. 4, pp. 4158--4168, Dec. 2019.
[5]
H. Farhangi, "The path of the smart grid, " in IEEE Power and Energy Magazine, vol. 8, no. 1, pp. 18--28, January-February 2010.
[6]
S. Bera, S. Misra and J. J. P. C. Rodrigues, "Cloud Computing Applications for Smart Grid: A Survey, " in IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 5, pp. 1477--1494, 1 May 2015.
[7]
R. F. Eggea, M. Ferreira, A. R. Aoki and R. J. Riella, "Energy management including photovoltaic panel and energy storage for Smart Grids through mobile application, " 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM), Montevideo, 2015, pp. 177--181.
[8]
Z. Fan et al., "Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities, " in IEEE Communications Surveys & Tutorials, vol. 15, no. 1, pp. 21--38, First Quarter 2013.

Cited By

View all
  • (2022)Research on the application of artificial intelligence in computer network technology in the era of big dataConcurrency and Computation: Practice and Experience10.1002/cpe.7262Online publication date: 4-Aug-2022
  • (2021)VarASV: Enabling Pitch-variable Automatic Speaker Verification via Multi-task Learning2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)10.1109/EI252483.2021.9713653(3240-3245)Online publication date: 22-Oct-2021

Index Terms

  1. Preliminary Analysis of The Application and Development of Big Data, Cloud Computing, IoT, Mobile Internet, AI, and Blockchain In The Power Scene

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering
    December 2020
    687 pages
    ISBN:9781450388665
    DOI:10.1145/3452940
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 May 2021

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Big data
    2. Cloud computing
    3. Internet of Things
    4. Power grid

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • the State Grid Gansu Electric Power Company Science and Technology Projects

    Conference

    ICITEE2020

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)13
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 28 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2022)Research on the application of artificial intelligence in computer network technology in the era of big dataConcurrency and Computation: Practice and Experience10.1002/cpe.7262Online publication date: 4-Aug-2022
    • (2021)VarASV: Enabling Pitch-variable Automatic Speaker Verification via Multi-task Learning2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)10.1109/EI252483.2021.9713653(3240-3245)Online publication date: 22-Oct-2021

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media