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In the Background of Digital, Research on Smart City Construction Supported by Power Data

In: Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

Author

Listed:
  • Guang Tian

    (State Grid Hebei Electric Power Co., Ltd.)

  • Yang Yang

    (State Grid Hebei Electric Power Co., Ltd.)

  • Fan Li

    (State Grid Hebei Electric Power Research Institute)

  • Jie Guo

    (State Grid Hebei Electric Power Co., Ltd.)

Abstract

With the integrated development of energy revolution and digital revolution, the digital transformation of energy state-owned enterprises is imperative. The application of power data is an important starting point for energy state-owned enterprises to achieve digital transformation. As an important data bearing people’s livelihood, power data has significant advantages such as high accuracy, wide coverage, high timeliness, and strong correlation. It can further optimize macroeconomic regulation, comprehensive social governance, promote ecological and green transformation, and effectively support the construction of smart cities. State Grid Hebei Electric Power focuses on the social, economic and ecological value of power data, and innovates an important strategic path for power data to support the construction of smart cities. This paper focuses on the important foothold of the application of power data by central energy enterprises in the context of digital transformation, and further deepening the work measures of smart city construction with the support of increasing the social, economic and ecological value of power data.

Suggested Citation

  • Guang Tian & Yang Yang & Fan Li & Jie Guo, 2023. "In the Background of Digital, Research on Smart City Construction Supported by Power Data," Advances in Economics, Business and Management Research, in: Seifedine Kadry & Yingchen Yan & Junjie Xia (ed.), Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), pages 614-623, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-124-1_71
    DOI: 10.2991/978-94-6463-124-1_71
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