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The Evolution Trend of “Digital Economy” and Its Enlightenment to Energy Enterprises

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International Conference on Cognitive based Information Processing and Applications (CIPA 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 85))

Abstract

Firstly, the 2021 Government Work Report and the 14th Five - Year Plan are reviewed, then analyze the evolution trend of “digital economy” from the change of status, the new policy opportunities of “digital economy”, the attention, data opening and sharing, development and utilization, and finally propose corresponding enlightenment and suggestions for energy enterprises.

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Acknowledgments

This work was supported by the science and technology project of State Grid Corporation of China, called “Research on bidirectional data value mining technology and typical application of “power economy” in SGCC” (Project Code: 1400-202157207A-0-0-00)”.

Author information

Authors and Affiliations

  1. State Grid Energy Research Institute Co. Ltd., Beijing, 102209, China

    Guang Chen, Hongda Gao, Jianye Liu & Wanting Yin

  2. Economic and Technology Research Institute, State Grid Hebei Electric Power Company, Shijiazhuang, Hebei, China

    Guozhen Ma

Authors
  1. Guang Chen
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  2. Hongda Gao
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  3. Guozhen Ma
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  4. Jianye Liu
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  5. Wanting Yin
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Corresponding author

Correspondence to Guang Chen .

Editor information

Editors and Affiliations

  1. Qatar Computing Research Institute, Doha, Qatar

    Bernard J. Jansen

  2. School of Mechanical Engineering, Southwest Petroleum University, Chengdu, China

    Haibo Liang

  3. Hainan University, Haikou, China

    Jun Ye

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chen, G., Gao, H., Ma, G., Liu, J., Yin, W. (2022). The Evolution Trend of “Digital Economy” and Its Enlightenment to Energy Enterprises. In: J. Jansen, B., Liang, H., Ye, J. (eds) International Conference on Cognitive based Information Processing and Applications (CIPA 2021). Lecture Notes on Data Engineering and Communications Technologies, vol 85. Springer, Singapore. https://doi.org/10.1007/978-981-16-5854-9_114

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