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An Intelligent Power Grid Oriented Data Mining Engine Construction Approach

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2020 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1244))

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Abstract

With the control operation and business management as the demand orientation, the overall architecture of data mining engine and machine learning component construction is established. Using the analysis mining adaptive modeling method based on the machine learning algorithm library, the application framework based on the data mining engine is constructed to fully mine the value of regulating operation data and provide technical support for the dispatcher to acquire data resources and regulating knowledge quickly and effectively. Through the method of knowledge discovery and knowledge acquisition oriented to regulation operation, the support ability of comprehensive application of regulation information and centralized analysis and decision-making in the whole grid can be improved.

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Author information

Authors and Affiliations

  1. Graduate School of Chinese Academy of Social Sciences, Beijing, 102488, China

    Kelong Wang

Authors
  1. Kelong Wang
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Corresponding author

Correspondence to Kelong Wang .

Editor information

Editors and Affiliations

  1. Distributed System and Security Research Cluster, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  4. University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

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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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Wang, K. (2021). An Intelligent Power Grid Oriented Data Mining Engine Construction Approach. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_118

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