储能科学与技术 ›› 2025, Vol. 14 ›› Issue (4): 1551-1553.doi: 10.19799/j.cnki.2095-4239.2025.0325

• 储能系统与工程 • 上一篇    下一篇

基于大数据技术的新能源产业技术动态升级研究

崔嫱()   

  1. 河南农业职业学院信息工程学院，河南 郑州 451450
  • 收稿日期:2025-04-02 修回日期:2025-04-17 出版日期:2025-04-28 发布日期:2025-05-20
  • 作者简介:崔嫱（1984—），女，硕士，讲师，从事数字媒体、信息技术研究，E-mail：Baicui9661@163.com。
  • 基金资助:
    2021年度河南省高等教育教学改革研究与实践项目(2021SJGLX700)

Research on dynamic upgrading of new energy industry technology based on big data technology

Qiang CUI()   

  1. Information Engineering College of Henan Vocational College of Agriculture, Zhengzhou 451450, Henan, China
  • Received:2025-04-02 Revised:2025-04-17 Online:2025-04-28 Published:2025-05-20

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摘要：

随着全球气候变化的加剧和环境保护意识的提升，新能源产业技术升级成为缓解能源危机、实现可持续发展的关键途径。大数据技术的快速发展和广泛应用，为新能源技术的研发和产业升级，提供了前所未有的机遇和挑战。本文旨在探讨大数据影响下新能源产业技术升级发展情况，分析大数据在新能源领域乃至储能行业的具体应用以及未来发展趋势，以期为新能源技术的创新发展提供参考。

关键词: 大数据, 产业升级, 新能源, 储能

Abstract:

With the intensification of global climate change and the increasing awareness of environmental protection, upgrading the new energy technology industry has become a key way to alleviate the energy crisis and achieve sustainable development. The rapid development and widespread application of big data technology provide unprecedented opportunities and challenges for the research and industrial upgrading of new energy technologies. This article aims to explore the technological upgrading and development of the new energy industry under the influence of big data, analyze the specific applications and future development trends of big data in the field of new energy and even the energy storage industry, in order to provide reference for the innovative development of new energy technology.

Key words: big data, industrial upgrading, new energy, energy storage

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