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Application of Smart Grid Energy Storage Technology Based on Artificial Intelligence Technology

Published: 14 March 2022 Publication History
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  • Abstract

    As an significant part of smart grid technology, energy storage(ES) system is a very critical part of the entire power system(PS). It can not only provide service functions such as energy supply, control and protection for the entire society, but also guarantee safety. Therefore, in the actual work process, we must make full use of artificial intelligence technology(AIT) for effective analysis and processing. Therefore, this article studies smart grid ES technology from AIT, with the purpose of improving the accuracy of ES through artificial intelligence. This article mainly uses field survey, questionnaire analysis and comparison method to conduct comparative analysis on ES technology, conduct data analysis on the application of artificial intelligence, and conduct related understanding of artificial intelligence and smart grid. The survey results show that 49.6% of people are looking forward to the role of AIT in smart grid ES.

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    Cited By

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    • (2023)AI-Driven Urban Energy Solutions—From Individuals to Society: A ReviewEnergies10.3390/en1624798816:24(7988)Online publication date: 9-Dec-2023

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    cover image ACM Other conferences
    AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
    October 2021
    3136 pages
    ISBN:9781450385046
    DOI:10.1145/3495018
    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]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 March 2022

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    • (2023)AI-Driven Urban Energy Solutions—From Individuals to Society: A ReviewEnergies10.3390/en1624798816:24(7988)Online publication date: 9-Dec-2023

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