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Research on the Development and Management of Electric Energy Under the Background of Big Data

  • Conference paper
  • First Online:
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1282))

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Abstract

The report of the 19th National Congress of the Communist Party of China pointed out that “socialism with Chinese characteristics has entered a new era”, and China’s economy has changed from a high-speed development to a high-quality development stage. The adjustment of power energy structure and market-oriented reform have been pushed forward in depth. One belt, one road, is the traditional cost management mode. The first is that the traditional power project cost above the budget quota has been unable to meet the needs of the full market competition. Two, the new technologies change rapidly in complex power engineering. At the same time, the overseas electricity market is broader. This puts forward new requirements for the cost management of electric power engineering. At this time, the management based on cost big data will bring more convenience to the cost management.

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References

  1. Li, X.: On the cost management and control of electric power engineering. Build. Mater. Decoration 17, 133–134 (2018)

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  2. Qiao, F.: Cost management and control strategy of electric power engineering. Account. Study 10, 201 (2018)

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  3. Zhang, X.: Discussion on the whole process cost management and control of power engineering construction. Low Carbon World 03, 321–322 (2018)

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Author information

Authors and Affiliations

  1. State Grid Hebei Electric Power Company, Shijiazhuang, 050000, Hebei, China

    Zhen Dong & Yong Wang

  2. State Grid Hebei Electric Power Company Economic Research Institute, Shijiazhuang, 050000, Hebei, China

    Yanqin Wang, Ning Xu & Dongchao Wang

Authors
  1. Zhen Dong
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  2. Yanqin Wang
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  3. Yong Wang
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  4. Ning Xu
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  5. Dongchao Wang
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Corresponding author

Correspondence to Zhen Dong .

Editor information

Editors and Affiliations

  1. David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

    John MacIntyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, Guangdong, China

    Xiaomeng Ma

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Dong, Z., Wang, Y., Wang, Y., Xu, N., Wang, D. (2021). Research on the Development and Management of Electric Energy Under the Background of Big Data. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_69

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